Physicians-in-training explore how emerging technologies, including humanoid robots, could help support healthcare teams and improve patient care 

In a simulation lab at Mayo Clinic in Florida, a humanoid robot carefully retrieves medical supplies, organizes equipment and helps prepare a cardiac catheterization laboratory. 

The robot moves slowly, and its capabilities are still being tested. But for the physicians gathered around it, the project represents something much larger than robotics. 

It’s one example of how Mayo Clinic residents are gaining hands-on experience evaluating how emerging technologies might support healthcare teams – all while keeping clinical judgment, decision-making and patient care firmly in human hands. Through Mayo Clinic's Internal Medicine Residency Innovation and Entrepreneurship Track, residents work alongside engineers, innovators and industry collaborators to evaluate new ideas and address real-world healthcare challenges. 

Developing new skills to solve healthcare challenges 

The resident-led project is exploring whether humanoid robots could someday assist with routine tasks in cardiovascular care settings. 

While the technology is still in the early stages of development, residents and faculty with Mayo Clinic School of Graduate Medical Education are exploring how robots might support healthcare professionals with tasks such as organizing supplies, retrieving equipment and helping prepare procedure rooms. The goal is not to replace clinical expertise, but to evaluate whether technology could assist with activities that occasionally require a member of the care team to step away from other responsibilities.  

For Guy Robinson, M.B.B.S., a resident in the innovation track, the project provided an opportunity to learn skills far outside traditional medical training. 

"I had zero coding knowledge," Dr. Robinson says. "I didn't understand the language at all." 

Working with the robot manufacturer, Mayo Clinic engineers and fellow residents, Dr. Robinson spent weeks learning programming fundamentals and experimenting with code. Early successes were modest. 

"At first, simply getting the robot to move its arm felt like a major accomplishment," he says. 

Within a month, however, the team had advanced to programming more complex actions with the help of artificial intelligence-assisted coding tools. 

Learning how innovation happens 

According to Abdallah El Sabbagh, M.D., director of the Internal Medicine Residency Innovation and Entrepreneurship Track, projects like this grow out of Mayo Clinic's broader culture of innovation. 

Residents participate in educational programs, mentorship opportunities and hands-on projects designed to help them identify challenges in healthcare and explore potential solutions. 

One of those experiences is Mayo Clinic's Clinical Innovation and Entrepreneurship program, which brings together physicians, innovators and other collaborators to help transform ideas into practical applications. 

"CIE helped change the way I think about innovation," Dr. Robinson says. "It emphasized that innovation is not simply having an idea but identifying a real clinical need and then taking practical steps toward implementation." 

Rena Hale, Ph.D., director of the Clinical Innovation and Entrepreneurship program, says helping learners connect unmet needs with practical solutions is a central focus. 

"Dr. Robinson brought that curiosity with him, and through the program developed the skills and confidence to act on it," Dr. Hale says. "Whether designing a new technology or exploring the potential of humanoid robotics, the underlying question remains the same: How can we make healthcare better for patients and the teams who care for them?" 

That mindset shaped the robotics project from the beginning. 

Rather than starting with the technology and searching for potential uses, the innovation team first engaged physicians and catheterization laboratory staff to better understand day-to-day workflows and identify areas where additional support might be valuable. Those conversations highlighted several routine tasks that can require team members to briefly step away during busy procedural workflows. 

That input helped define the problem the team was trying to address and identify practical use cases for early proof-of-concept testing. Residents, engineers and innovation leaders then worked together to develop and evaluate robotic workflows based on those frontline insights. 

A model for innovation training 

Mayo Clinic's approach recently received national attention. 

In an article for the New England Journal of Medicine Catalyst, physician leaders highlighted the growing need for innovation education during clinical training and pointed to Mayo Clinic's Internal Medicine Residency Program in Florida as an example of how residents can gain meaningful experience evaluating new technologies and developing solutions for healthcare challenges. 

The robotics project demonstrates what that type of training can look like in practice. 

Residents from multiple Mayo Clinic campuses have contributed to the effort. Dr. Robinson helped lead hands-on programming work in Florida, while Kiyan Heybati, M.D., a Mayo Clinic Alix School of Medicine graduate and current resident in Rochester, continued contributing remotely. Mayo Clinic engineers provided technical expertise, and innovation leaders helped connect residents with resources and mentorship. 

Together, residents, engineers, innovation leaders and frontline clinical staff contributed perspectives that helped move the project forward, combining technical expertise with firsthand understanding of the clinical environment. 

"Residents understand the clinical implications,” Dr. El Sabbagh says. “They can work closely with software engineers and bring ideas forward." 

The project also highlights how innovation opportunities can appeal to learners with a wide range of interests. Some residents enter training with backgrounds in technology or entrepreneurship. Others discover those interests during residency and gain the confidence to pursue them. 

Dr. El Sabbagh says the goal is not for every resident to become a programmer or entrepreneur. Instead, residents learn how to identify meaningful problems, collaborate across disciplines and evaluate how new ideas might be implemented safely and effectively in healthcare settings. 

For Dr. Robinson, that experience has expanded his understanding of what it means to train at Mayo Clinic. 

"I realized that we deliver the best care in the world because we also advance care the most," he says. "That's what makes this place special." 

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As healthcare evolves at an unprecedented pace, Mayo Clinic is investing in lifelong learning to prepare the workforce for the future of medicine. 

Healthcare is evolving at an unprecedented pace. Advances in artificial intelligence, precision medicine, digital health and quality improvement are transforming how care is delivered, while new knowledge and evolving professional standards require clinicians to continually adapt. 

For healthcare organizations, keeping pace is about more than meeting licensure or certification requirements. It requires a workforce prepared to respond to emerging technologies, new models of care and rapidly expanding medical knowledge while continuing to deliver the highest quality patient care. 

At Mayo Clinic, continuous professional development is a strategic investment in that future. 

Through Mayo Clinic School of Continuous Professional Development (CPD), education is embedded into professional practice across the organization, helping physicians, advanced practice professionals, allied health professionals and other staff continuously build the knowledge and skills needed to advance patient care, research and education. 

"Learning doesn't end when someone joins Mayo Clinic — it becomes part of how we practice every day," says William Palmer, M.D., dean of Mayo Clinic School of Continuous Professional Development. "Continuous professional development helps our staff stay current in rapidly changing fields while reinforcing the curiosity, collaboration and commitment to excellence that defines Mayo Clinic. Investing in lifelong learning is ultimately an investment in better care for our patients." 

Preparing the workforce for artificial intelligence

Few developments are reshaping healthcare as rapidly as artificial intelligence (AI). Mayo Clinic is approaching AI education with the same evidence-based philosophy that guides its clinical practice. 

The Practical Applications of AI at Mayo Clinic course, launched in spring 2026, focuses on real-world examples of how Mayo Clinic staff and leaders are applying AI across clinical practice, research, education and administrative work. Rather than exploring AI as a future possibility, the course demonstrates how these tools are already being used within a framework of responsible governance and patient-centered innovation. 

Directed by Atul Jain, M.D., M.S., the course offers up to eight types of continuing education credit. 

"Artificial intelligence is already changing how healthcare is delivered," said Dr. Jain. "Our goal isn't simply to introduce AI concepts — it's to help members of the healthcare workforce understand how Mayo Clinic is using these tools responsibly and to provide practical knowledge they can apply in their own work." 

The AI Foundations and Applications for Emerging Digital Leaders course, launched in 2024, complements this work and reflects growing interest among staff in developing the knowledge and skills needed to responsibly integrate AI into healthcare. 

Learning as a cornerstone of excellence 

Lifelong learning has long been embedded in Mayo Clinic's culture.  

That commitment is reflected in the scale of CPD's educational ecosystem. In 2025, the school supported 191 regularly scheduled series, including grand rounds, journal clubs, morbidity and mortality conferences and other recurring educational activities, that together delivered more than 6,000 educational sessions. 

For the 191 regularly scheduled series alone, CPD awarded more than 87,000 continuing education credits, helping employees maintain professional competencies, fulfill licensure requirements and stay current in rapidly evolving fields. The school also supports Maintenance of Certification requirements for physicians and physician assistants, reinforcing the connection between professional learning, operational improvement and patient outcomes. 

An accessible, century-long commitment to professional growth 

Mayo Clinic's commitment to continuous learning is not new. 

This year, Clinical Reviews in RST, one of CPD's longest-running educational programs, celebrates its 100th anniversary. While educational formats have evolved dramatically over the past century, the underlying principle has remained constant: Patient care depends on clinicians who never stop learning. 

And as healthcare professionals face increasing demands on their time, education must become more accessible without sacrificing quality. 

CPD has expanded learning beyond traditional conferences through online courses, podcasts, journal-based education and self-paced learning that allow healthcare professionals to access trusted education whenever and wherever it best fits their schedules. 

One example is Mayo Clinic Talks, a weekly podcast that delivers timely discussions on common clinical conditions and emerging topics across primary care and specialty practice. 

The school's online continuing medical education platform also offers hundreds of learning opportunities across specialties and professions, providing clinicians with flexible access to evidence-based education. 

Investing in the future of healthcare 

As medicine becomes more complex and innovation accelerates, organizations that embed learning into everyday practice are better positioned to improve care, advance discovery and prepare for what comes next. 

"Education has always been central to Mayo Clinic's mission," says Dr. Palmer. "By expanding access to emerging areas of learning, we are investing in our people and empowering them to deliver the highest-quality care, research and education for the patients and communities we serve." 

By treating continuous learning as a strategic capability rather than simply a professional requirement, Mayo Clinic is helping define what lifelong learning looks like in modern healthcare. 

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As the fire chief for the city of Fargo, North Dakota, Gary Lorenz is accustomed to high-stress emergencies.  

"Firefighters are problem solvers," Gary explains. "When people call 911, and the dispatchers aren’t sure whom to send, they send the fire department."  

But on Oct. 7, 2025, Gary faced a crisis he could not simply delegate.  

During a routine scan for an unrelated issue, doctors discovered a tumor on his left kidney.  

Stunned by the news, Gary recalls pacing the floor at his headquarters fire station, feeling overwhelmed and not knowing what to do next.   

"I am kind of a fixer," says Gary. "Whether it's mechanical or other things, I'm fixing problems all the time, and so when it was my problem, trying to figure out how to fix this, it just seemed big."  

Walking in circles, the reality of his diagnosis set in.  

With the love and support of his wife, who works in the medical field, Gary discussed the next steps and knew exactly where to turn. He reached out to Mayo Clinic.  

Watch: Robotic surgery helps fire chief return to duty

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A rapid response and a precise plan  

Within one day, a video conference was scheduled for the following week with Dr. Aaron Potretzke, a Mayo Clinic urologic surgeon.  

Knowing a plan was in place, his family urged him to go ahead with his annual fishing trip that weekend to Lake of the Woods in Canada.  

While driving, Gary received a call from Mayo Clinic asking whether he could meet virtually that Friday instead of the following week. 

During the videoconference, Dr. Potretzke explained how the scans described a single, approximately 4-centimeter bi-lobed tumor, but the exact nature of the growth would not be determined until after it was surgically removed.  

Because of the tumor's location and associated risks, Dr. Potretzke recommended a robotic-assisted radical complete nephrectomy, a minimally invasive surgery using robotic tools to completely remove a kidney through tiny incisions. 

"Dr. Potretzke’s thoroughness, professionalism and confidence greatly helped relieve much of the anxiety I was experiencing," says Gary.  

In short order, Gary received a call on Monday morning from Dr. Potretzke’s office about a last-minute surgical opening for the next day.  

Mayo staff coordinated and communicated with Gary to complete all of the necessary surgical preauthorization. 

Despite this tight timeline and a five-hour drive the night before, he was in the operating room exactly one week after his diagnosis.  

"It’s unheard of to go from start to finish that quickly," Gary says. "It felt like people actually cared how fast it came together."  

Dr. Potretzke says Gary's case was unique because of the multidisciplinary coordination that occurred in such a short time while Gary was several hours from Rochester, Minnesota. 

"To be able to get him into the operating room that fast was not something that we see every day, but it shows that this system works really well — and people at Mayo Clinic go the extra mile in an amazing way to take great care of patients in a thorough and efficient way," says Dr. Potretzke.  

Because of this advanced approach, he spent just a single night in the hospital and was able to return to work four days later.   

Dr. Potretzke will continue to monitor Gary over the next two years for signs of recurrence. 

Reaching a milestone: 100,000 da Vinci robot-assisted surgeries  

Gary's successful journey comes as Mayo Clinic marks a milestone in robotic-assisted surgery.  This summer, Mayo Clinic surpassed 100,000 surgeries assisted by the da Vinci robot.

Mayo Clinic uses advanced surgical robots to perform complex operations with precision, helping patients like Gary experience less pain, spend less time in the hospital and recover faster.  

"At Mayo Clinic in Arizona specifically, it's a marker of how far we've come as a campus from adopting the technology to now defining where complex robotic surgery goes next," says Dr. Michelle Nguyen, a Mayo Clinic transplant surgeon. "Reaching 100,000 cases is a meaningful milestone, but it's the culture of innovation behind it that will define what the next 100,000 look like."  

Much of that progress is being driven by breakthroughs in surgical technology. 

"Robotic-assisted surgery allows us to perform increasingly complex operations with greater precision, control and safety," says Dr. David Yang, a urologist at Mayo Clinic Health System in Mankato, Minnesota. "This translates into improved patient outcomes, less postoperative pain and faster recovery. Perhaps just as importantly, procedures that were once only available at large tertiary care centers can now be performed closer to home."  

That high level of care is a collective effort. 

"Each of those 100,000 robotic surgeries was made possible by our exceptional care teams, including not only surgeons at Mayo Clinic in Florida but nursing teams, anesthesia, surgical staff, custodial support, scheduling and many others," says Dr. Mara Piltin, a Mayo Clinic surgical oncologist. "Each member of our institution plays a meaningful role in allowing us to offer high-volume, high-complexity care to patients in need, and we are grateful for each piece of the puzzle."  

Grateful for the seamless multidisciplinary care  

Reflecting on his clear follow-up scans and rapid recovery, Gary is grateful for the seamless multidisciplinary care he received.   

Highlighting how technology empowers clinical teams, Dr. Potretzke notes that robotic-assisted surgery has been a tremendous asset.   

"Robotic surgery allows us to enhance traditional laparoscopy with 3D and magnified visualization, and articulating instruments that allow for meticulous dissection and sewing in very small spaces," he adds.  

Meanwhile, patients like Gary are thankful for the team at Mayo Clinic.   

"I told Dr. Potretzke I would only share my story if I could brag about him and his team," says Gary. "You really respect the knowledge and training that the care team has." 

The post When a fire chief needed help: How Mayo Clinic’s collaborative care and robotic surgery saved his life (VIDEO) appeared first on Mayo Clinic News Network.

In this episode of "Tomorrow's Cure," experts explore how platform-based models can help health systems use data and artificial intelligence (AI) to advance healthcare. Recorded at the fifth annual PlatforMed event hosted by Mayo Clinic, these leaders shared insights with more than 260 health system executives and Tomorrow's Cure.  

In this special episode, hear from Micky Tripathi, Ph.D., chief AI implementation officer for Mayo Clinic; Gelareh Zadeh, M.D., Ph.D., David C. and Flora C. Pratt Distinguished Chief Medical Officer for Mayo Clinic Platform; Farhana Alarakhiya, chief data information officer, Aga Khan University; Aashima Gupta, global director, healthcare, Google Cloud; Maneesh Goyal, chief operating officer, Mayo Clinic Platform; and John Halamka, M.D., the Dwight and Dian Diercks President of Mayo Clinic Platform. 

"Healthcare is entering a new phase in the adoption of AI," says Dr. Halamka. "Our responsibility is to ensure these technologies translate into better care for patients. With trusted data and strong governance, AI can help healthcare professionals make more informed decisions in real time, accelerate discovery and improve outcomes." 

The conversation explores how AI can help clinicians work more efficiently. Mayo Clinic has hundreds of clinical AI solutions in development, including tools designed to organize complex medical records. AI can also assist clinicians in identifying signs of disease earlier. One example discussed in the episode highlights how a Mayo Clinic radiologist uses AI to look for pancreatic cancer that cannot yet be seen by the human eye, potentially identifying signs of the disease well before conventional diagnosis. As AI, digital pathology, voice technology and other tools continue to evolve, the podcast guests discuss how they envision healthcare becoming more predictive, personalized and accessible using shared knowledge to bring the right insights closer to each patient, wherever they live. 

The episode also reflects a broader theme showcased at PlatforMed 2026: The next chapter of AI in healthcare is about moving from experimentation to implementation at scale. That means building trusted infrastructure, supporting the healthcare workforce, and turning collaboration and innovation into measurable improvements in patient care. 

Listen to the latest episode of "Tomorrow's Cure" to learn how Mayo Clinic takes on the future of AI and innovation in healthcare. You can also explore the show's full library of episodes and guests on the show's playlist. 

The post From big ideas to better care: Live from PlatforMed 2026  appeared first on Mayo Clinic News Network.

SAO PAULO and ROCHESTER, Minn. — Mayo Clinic and Einstein Hospital Israelita today announced a milestone in their collaboration to advance responsible artificial intelligence (AI)-enabled healthcare innovation. Einstein's de-identified clinical data is now available through Mayo Clinic Platform's secure, privacy-preserving global healthcare innovation ecosystem. The collaboration strengthens South American representation in global health datasets and enables researchers and innovators to develop, validate, and scale AI-enabled solutions across a broader representation of patient populations.

"Working with leading hospitals around the world, like Einstein Hospital Israelita, Mayo Clinic Platform is curating the world's data and assembling the world's innovators to advance healthcare transformation," says John Halamka, M.D., Dwight and Dian Diercks president, Mayo Clinic Platform. "By building a global health data network, we can accelerate the discovery, development and deployment of trusted AI-enabled solutions to improve care for patients everywhere."

For Einstein Hospital Israelita, the milestone reinforces its role as one of the global and leading institutions in health innovation, enabling the development and validation of AI-enabled solutions through Mayo Clinic Platform's secure environment while contributing regional clinical perspectives to global research. The collaboration also creates opportunities for multicenter studies, responsible algorithm validation and future innovation opportunities to connect healthcare professionals, researchers and digital health innovators.

To prepare for this data collaboration, Einstein Hospital Israelita joined Mayo Clinic Platform's Early Adopter Program to learn how to best use the Platform's tools and capabilities to advance global AI research.

"Einstein is now taking a more strategic role in one of the most relevant global health data networks focused on innovation. This advancement marks the completion of a technological adaptation stage for secure cloud data access and paves the way for the development, validation, and implementation of AI-based solutions and algorithms. It will also enable secure multicenter studies with privacy protection to advance medical practice, resulting in greater capacity to scale projects to global standards," says Sidney Klajner, president of Einstein Hospital Israelita.

This global health data network, called Mayo Clinic Platform_Connect, now includes eight members and spans seven countries across three continents. Connect brings broad representation in genetics, demographics and lifestyles to provide a massive repository of analyzable data for research and responsible AI development to transform healthcare globally. All data remains de-identified and under the control of each participating healthcare organization.

Connect's founding members include Brazil's Einstein Hospital Israelita, Canada's University Health Network, Israel's Sheba Medical Center, Mayo Clinic and Mercy in the United States. Additional partners include Aga Khan University in Kenya and Seoul National University Hospital in South Korea.

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About Mayo Clinic
Mayo Clinic is a nonprofit organization committed to innovation in clinical practice, education and research, and providing compassion, expertise and answers to everyone who needs healing. Visit the Mayo Clinic News Network for additional Mayo Clinic news.

About Mayo Clinic Platform
Mayo Clinic Platform is a strategic initiative of Mayo Clinic that enables collaboration, data-driven innovation and responsible AI development to transform healthcare globally. Mayo Clinic Platform is reimagining healthcare as an ecosystem — one where data, digital solutions, and expertise flow seamlessly between innovators and care teams to improve care for patients everywhere.

About Einstein Hospital Israelita
Einstein Hospital Israelita is one of Latin America's leading healthcare, education, research and innovation institutions. Based in Sao Paulo, Brazil, Einstein combines high-complexity care, scientific research, digital health capabilities and partnerships with global organizations to advance healthcare transformation. Through initiatives in artificial intelligence, data science, technology validation and innovation, Einstein works to translate knowledge into better care, broader access and improved outcomes for patients in Brazil and beyond.

Media contacts:

• Caroline Auger, Mayo Clinic Communications, newsbureau@mayo.edu
• Luna Aghata, Einstein Hospital Israelita Communications, imprensa@einstein.br  

The post Mayo Clinic Platform and Einstein Hospital Israelita advance global AI health innovation with secure data collaboration appeared first on Mayo Clinic News Network.

Deployment across Mayo Clinic pathology practices integrates AI-enabled digital pathology with historical pathology images and clinical data in a unified workflow.

ROCHESTER, Minn., and OREM, Utah — Mayo Clinic and Techcyte today announced the implementation of Anatomic Pathology (AP) technology, a next-generation digital pathology platform developed through a co-development and intellectual property licensing agreement between the two organizations. This collaboration expands adoption of Mayo Clinic Digital Pathology innovations while advancing development of a next-generation digital pathology platform through a connected artificial intelligence (AI)-driven ecosystem.

Techcyte Fusion AP is a digital pathology solution that unifies whole-slide image (WSI) viewing, case information, workflow tools and AI into a single platform to support anatomic pathology processes. The rollout of Fusion AP builds on a multiyear collaboration between Mayo Clinic and Techcyte to advance digital pathology and laboratory medicine through technologies that support patients, pathologists, laboratories and researchers. Through the agreement, Techcyte has licensed Mayo Clinic-developed intellectual property, enabling the organizations to further develop and broaden access to innovations originating from Mayo Clinic's digital pathology program.

Every advancement in digital pathology is ultimately intended to improve the experience of the patient. Bringing together a patient's pathology images, clinical history and relevant case information into a single, integrated workflow helps pathologists access the information they need more efficiently to support timely, informed diagnostic decisions. For patients, this means pathology teams can spend less time navigating technology and more time focused on delivering the expert, coordinated care that is central to Mayo Clinic's practice.

About Fusion

Fusion is an AI-driven platform shaped by input from Mayo Clinic pathologists and laboratory specialists to support the needs of enterprise anatomic and clinical pathology workflows. The Fusion AP platform streamlines complex pathology operations by bringing together WSI viewing, case information, workflow tools and integrated data sources within a clean, ultrafast, high-performance interface, all on one platform.

"The implementation of Fusion AP, developed through our collaboration with Mayo Clinic, is an important milestone in our shared work to advance digital pathology," says Ben Cahoon, CEO of Techcyte. "Fusion AP brings AI into the pathology workflow in a way that supports efficiency for the pathologists doing the work."

The use of the Fusion AP technology enables enterprise-wide access to over 22.6 million current and historical WSIs, providing pathologists real-time access to Mayo Clinic's archive. Fusion AP is also integrated with Mayo Clinic's electronic health record and Laboratory Information Systems, bringing relevant patient history, lab results, case information and associated WSIs into a single environment to support pathologist review. 

"This implementation reflects years of collaboration between our pathology, laboratory and technology teams to co-develop a platform around the way pathologists practice," says Eric Hsi, M.D., chair of the Department of Laboratory Medicine and Pathology at Mayo Clinic in Rochester. "By bringing together pathology images, clinical information and AI-enabled tools into a unified digital workflow, we're helping create a more efficient, connected environment that supports high-quality patient care today."

"Mayo Clinic's work in digital pathology is guided by the needs of patients and shaped by the realities of clinical practice," says Jim Rogers, CEO of Mayo Clinic Digital Pathology. "Our collaboration reflects a shared focus on building clinically relevant digital pathology solutions that fit into day-to-day pathology workflows."

Throughout this strategic collaboration, Mayo Clinic and Techcyte will continue to co-develop technologies that enable pathologists to access and deploy AI tools within their existing workflows. The connected ecosystem is intended to support AI applications developed by Techcyte, Mayo Clinic and third-party innovators, creating a flexible framework for advancing diagnostic capabilities across pathology subspecialties.

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About Mayo Clinic     
Mayo Clinic is a nonprofit organization committed to innovation in clinical practice, education and research, and providing compassion, expertise and answers to everyone who needs healing. Visit the Mayo Clinic News Network for additional Mayo Clinic news.

About Techcyte
Techcyte is transforming the practice of pathology through a unified, AI-powered digital platform that streamlines complex workflows, integrates with core lab systems, and enhances communication across the lab.

By partnering with leading laboratories, scanner manufacturers, diagnostic hardware providers, and AI developers, we deliver a unified digital pathology platform to labs and clinics around the world, furthering our mission to positively impact the health of humans, animals, and the environment.

Visit techcyte.com for more information.

Techcyte's anatomic and clinical pathology platform is for Research Use Only in the United States.

Media contacts:

• Troy Bankhead, Techcyte Europe, 435-210-6200, troy.bankhead@tehcyte.com
• Tom Millikin, Mayo Clinic Communications, newsbureau@mayo.edu

The post Techcyte Fusion Anatomic Pathology advances digital pathology transformation at Mayo Clinic appeared first on Mayo Clinic News Network.

A simple 10-second heart test with the aid of artificial intelligence is helping physicians detect a serious, often-overlooked disease.

For Rochester businessman Mike Busch, that technology proved life-changing. After months of unexplained symptoms, an AI-enhanced ECG helped doctors at Mayo Clinic quickly uncover a diagnosis that might otherwise have been missed.

Watch: AI-ECG helps physicians detect hidden heart condition

Journalists: Broadcast-quality video (2:31) is in the downloads at the end of this post. Please courtesy: "Mayo Clinic News Network." Read the script.

At the age of 77, Mike Busch says he has no plans for retirement.

"I still work full time," he says.

Spending time with Carol, his wife of 51 years, running his business and promoting youth wrestling in the region means Mike is always on the go.

But in 2023, his health became a concern.

"I wasn't feeling well for a few months, felt like somebody was sitting on my chest," Mike says. "I kind of lost my balance and kind of fell a little bit. I knew I had to probably go in and see somebody. I had been putting it off too long, and went into Mayo."

His doctor ordered an electrocardiogram, or ECG. It's a simple 10-second test that records the heart's electrical signals. Unbeknownst to Mike, he had developed a heart condition called cardiac amyloidosis.

"Cardiac amyloid is a condition where abnormal proteins deposit in the heart. It makes the heart stiff and causes problems with heart failure," says Dr. Martha Grogan, a cardiologist and director of the Cardiac Amyloidosis Clinic at Mayo Clinic in Rochester, Minnesota.

"I kind of suspected something, but I didn't think it was that serious," Mike says.

His doctors were able to quickly diagnose him, thanks in large part to AI.

"Artificial intelligence, isn't it? I think," Mike says. "I'm not sure."

"The algorithm that we have to detect amyloid was strongly positive. Our scale goes from zero to 100, and he ranked a 98," says Dr. Grogan.

"It begins to learn what the patterns are, and then when it's all done, we can give it an unknown ECG and say, 'Is the pattern that suggests amyloid heart disease present, yes or no?' And it's a very powerful classifier. It can see signals that are hidden to humans," says Dr. Paul Friedman, a cardiologist and Norman Blane and Billie Jean Harty Chair, Mayo Clinic Department of Cardiovascular Medicine Honoring Robert L. Frye, M.D., at Mayo Clinic in Rochester, Minnesota.

That's vital for patients with cardiac amyloidosis, which is often misdiagnosed as other types of heart problems, delaying important treatment.

"I couldn't believe it, put it that way," Mike says.

This AI-ECG tool was developed at Mayo seven years ago and recently received FDA clearance.

"Since the introduction of the AI-ECG at Mayo Clinic, it's now been used over a million times by clinicians in screening for various heart conditions," says Dr. Friedman. "It's a powerful test, and it can have us point not our stethoscope but maybe our looking glass in the right direction, so we don't miss things that are important and that are treatable."

Mike takes his medication, continues to follow up with his doctors, and still stays busy.  

"I don't see any changes as far as my work ethic goes," he says. "I'm fortunate to be where I'm at, and I'm happy with Mayo Clinic and what they've done."

The post AI-ECG helps physicians detect hidden heart condition (VIDEO) appeared first on Mayo Clinic News Network.

• A novel theranostics study explores imaging- and data-informed approaches to support individualized treatment decisions and expand access to theranostics
• Collaboration stems from a 2023 Strategic Radiology Research Alliance between Mayo Clinic and GE HealthCare, aimed at transforming the experience of patients and clinicians in the practice of radiology and the delivery of novel therapies

CHICAGO, Ill. and ROCHESTER, Minn. — GE HealthCare and Mayo Clinic today announced the MI-BET (Molecular Imaging Biomarker-Based End of Therapy Trial) research collaboration, a novel theranostics study designed to explore a more personalized approach to radioligand therapy (RLT) for patients with advanced prostate cancer. This collaboration is a direct result of the 2023 Strategic Radiology Research Alliance between Mayo Clinic and GE HealthCare, aimed at transforming the experience of patients and clinicians in the practice of radiology and the delivery of novel therapies.

Radioligand therapy is an emerging treatment approach within theranostics that combines targeted radiopharmaceutical diagnostics and therapies, allowing clinicians to identify and treat cancer with greater precision. Today, many patients receiving RLT follow a standardized preset number of treatment cycles. MI-BET is designed to evaluate whether imaging- and biomarker-informed insights can support a more personalized approach to each patient's care. In this case, treatment may be adapted via a pause in RLT treatment. The decision to apply this pause is directly determined from the individual patient's disease response over time.

"This collaboration is an example of how Mayo Clinic leads in discovery by integrating novel technologies into our practice and accelerating innovation across research and clinical care to advance the future of medicine," says Andrew Danielsen, chief business development officer at Mayo Clinic. "By bringing together complementary expertise and capabilities, we can enable our world-class researchers and physicians to develop new insights, expand treatment possibilities, and ultimately provide the best outcomes for our patients globally."

The MI-BET study will use GE HealthCare's StarGuide SPECT/CT technology alongside MIM Software's MIM LesionID Pro to track how tumors are responding to treatment throughout therapy. By integrating imaging data with clinical outcomes and blood-based biomarkers, the Mayo Clinic research team is exploring these combined insights, which may help inform treatment decisions and potentially support the development of predictive markers for patient response. Predictive marker insights could enable researchers and clinicians to anticipate how patients will respond before or early in treatment, further enabling physicians to make adaptive treatment decisions.

"Personalizing therapy is both a scientific pursuit and an opportunity to expand patient access," says Geoffrey Johnson, M.D., Ph.D., chair of the Radiopharmaceutical Trial Team at Mayo Clinic Comprehensive Cancer Center. "Theranostics, and studies such as MI-BET, give us an important opportunity to rethink how and when we treat cancer. By evaluating response earlier in their treatment, we can generate data to drive approaches that could help reduce unnecessary therapy while expanding access to care for wider populations."

This effort supports a broader goal of expanding access to advanced theranostic care so that scientific advances can benefit a wide range of patients. The study is designed to encourage broad participation through patient outreach, collaboration with community and advocacy organizations, and the use of approaches such as telemedicine that may help reduce barriers to enrollment and engagement.

Beyond evaluating treatment duration, MI-BET also seeks to contribute to the broader evolution of theranostics by exploring new imaging biomarkers and data-driven approaches designed to support clinical decision-making. These efforts reflect a growing shift in oncology toward more adaptive, patient-specific care models.

"Making theranostics truly adaptive and personalized requires strong clinical evidence and a deeper understanding of how patients respond to therapy," says Sergio Calvo, global general manager, Theranostics, at GE HealthCare. "Through our collaboration with Mayo Clinic, we are exploring how imaging and data-driven insights can help inform more individualized treatment decisions, support the broader adoption of these approaches and contribute to the continued growth of precision care in oncology."

MI-BET research and activities will be based at Mayo Clinic's campus in Rochester, Minnesota, leveraging both organizations' strengths in clinical practice, research and product development. Additionally, Mayo Clinic is the first U.S. site to explore the clinical benefits that could be achieved with GE HealthCare's next-generation SPECT/CT StarGuide GX* technology. This includes exploring the potential for reduction in scan time and increasing the precision in tumor assessments.

^{* StarGuide GX is CE marked. Not approved or cleared by the FDA. Not available for sale in the United States.}

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About Mayo Clinic   
Mayo Clinic is a nonprofit organization committed to innovation in clinical practice, education and research, and providing compassion, expertise and answers to everyone who needs healing. Visit the Mayo Clinic News Network for additional Mayo Clinic news.

About GE HealthCare Technologies Inc.
GE HealthCare is a leading global healthcare solutions provider of advanced medical technology, pharmaceutical diagnostics, and AI, cloud and software solutions that help clinicians tackle the world’s most complex diseases. Serving patients and providers for 130 years, GE HealthCare is delivering bold innovations designed for the next era of medicine across its Advanced Imaging Solutions, Patient Care Solutions, and Pharmaceutical Diagnostics segments to help clinicians deliver more personalized, precise patient care. We are a $20.6 billion business with approximately 54,000 colleagues working to create a world where healthcare has no limits.

GE HealthCare is proud to be among 2026 Fortune Worlds Most Admired Companies.

Follow GE Healthcare on LinkedIn, Facebook, Instagram, or visit GE Healthcare's website for the latest news and perspectives.

Media contacts:

• Caitlin Lamey, GE Healthcare, caitlin.lamey@gehealthcare.com, 951-249-1401
• Julie Ferris-Tillman, Ph.D., Mayo Clinic, newsbureau@mayo.edu

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Mayo Clinic’s Berg Innovation Exchange and Business Development unite expertise in collaboration, commercialization and venture creation to accelerate innovation worldwide

ROCHESTER, Minn. — Mayo Clinic is strengthening its commitment to advancing healthcare innovation by aligning the Mayo Clinic Berg Innovation Exchange with Mayo Clinic Business Development, creating new opportunities to help promising discoveries reach patients and communities worldwide.

Since its launch, the Berg Innovation Exchange has connected innovators with expertise, mentorship and a global network of collaborators. The exchange has served as a catalyst for innovation within Mayo Clinic and across the broader healthcare ecosystem, bringing together clinicians, researchers, entrepreneurs, industry leaders and investors to explore new approaches to healthcare challenges.

The alignment with Business Development creates stronger connections between early-stage innovation activities and the expertise needed to advance technologies, launch new ventures and expand the reach of Mayo Clinic discoveries.

"From the beginning, the vision of the exchange has been to help innovators find the expertise and opportunities needed to move ideas forward," says Jennie Kung, vice chair of Mayo Clinic Berg Innovation Exchange. "What started as a vision for accelerating innovation has grown into a community of innovators and problem-solvers and positions us to support even more meaningful work in the years ahead."

The exchange helps innovators refine and validate new concepts by providing access to collaborators’ collective expertise. Business Development complements those efforts through capabilities in intellectual property, licensing, venture creation, investment activities and commercialization.

Together, these capabilities create a more seamless pathway from discovery to real-world application, helping promising innovations advance toward broader adoption and patient impact.

"Innovation depends on strong connections between discovery, commercialization and collaboration," says Andy Danielsen, chief business development officer at Mayo Clinic. "This alignment expands opportunities to work with organizations around the world and provides the resources needed to translate ideas into products and services that benefit patients."

As healthcare continues to evolve, Mayo Clinic is committed to fostering relationships and collaborations that help advance innovation beyond institutional boundaries. Earlier access to expertise and strategic guidance can help innovators navigate key decisions and identify the most effective path forward.

"The ultimate measure of innovation is whether it makes a difference in people's lives," says Peter Noseworthy, M.D., medical director for Business Development. "Strengthening the connection between innovation and commercialization helps promising discoveries gain traction beyond Mayo Clinic and creates more opportunity for impact."

The exchange will continue to play an important role in identifying opportunities, encouraging collaboration and helping innovators transform promising ideas into meaningful advances.

At its core, the effort reflects Mayo Clinic's belief that meaningful progress happens when people with diverse expertise come together to solve important challenges.

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About the Berg Innovation Exchange
Supported by philanthropic funding, the Berg Innovation Exchange operates with impartiality, ensuring equal opportunities for all innovators and stakeholders, with an emphasis on addressing healthcare needs over individual or institutional interests.

About Mayo Clinic 
Mayo Clinic is a nonprofit organization committed to innovation in clinical practice, education and research, and providing compassion, expertise and answers to everyone who needs healing. Visit the Mayo Clinic News Network for additional Mayo Clinic news.

Media contact:

• Tom Millikin, Mayo Clinic Communications, newsbureau@mayo.edu

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Healthcare AI is evolving beyond predicting outcomes to helping clinicians and researchers make informed decisions.

This shift was a key focus of Mayo Clinic's AI Research Summit, where more than 750 researchers, clinicians, AI scientists, engineers, students and other innovators gathered June 4–5 in Rochester, Minnesota, and online.

"The future of healthcare AI is not simply about building better predictor models, it's about developing integrated decision intelligence systems," said Cui Tao, Ph.D., the Nancy Peretsman and Robert Scully Chair of AI and Informatics at Mayo Clinic.

The summit highlighted emerging approaches such as multi-agentic AI, in which multiple agents work together on complex tasks, and simulations that use real-world data to test ideas and generate insights faster.

Helping personalize patient care

A key application of healthcare AI is personalized decision support at the point of care.

Yong Chen, Ph.D., of the University of Pennsylvania, said clinicians need tools that go beyond prediction to help them determine which actions will lead to the best patient outcomes.

Healthcare is a sequence of interconnected decisions that evolve over time — which treatment to use, when to intervene and when to adjust care. Integrated AI tools could help care teams determine the optimal next step for each patient.

For example, when patients receive an implant such as a stent, personalized decision-making support systems could help clinicians determine the best timing for antiplatelet therapy while reducing the risk of complications.

Changing how discoveries are tested

AI and automation may help researchers accelerate the discovery and testing of new medical treatments, said Matt Redlon, chair of the AI Program and vice president of Digital Biology, Mayo Clinic Digital Pathology.

For many diseases, thousands of existing drugs could be studied for potential repurposing, said Redlon.

Multi-agentic AI systems could be used to simultaneously analyze data from multiple sources such as biospecimens and clinical records, helping researchers identify the most promising treatments for further study.

Researchers also are exploring virtual trials, which use AI and existing healthcare data to simulate clinical trials, as a strategy to generate early signals from real-world data. This could substantially shorten the timeline for assessing promising new therapies for patients.

Watch: Mayo Clinic summit highlights shift in healthcare AI research

Journalists: Broadcast-quality sound bites are available in the downloads at the bottom of the posts. Name super/CG: Cui Tao, Ph.D./Nancy Peretsman and Robert Scully Chair of AI and Informatics at Mayo Clinic/Mayo Clinic/Matt Redlon/Chair of AI Program, Vice President of Digital Biology in Digital Pathology/Mayo Clinic/Micky Tripathi, Ph.D./Chief AI Implementation Officer/Mayo Clinic

Supporting clinicians and researchers

In addition to delivering more personalized care, AI technologies are being developed to streamline work for healthcare staff.

Some solutions are designed to augment human capabilities by "doing things that humans literally can't do with the limitations of our senses," said Micky Tripathi, Ph.D., chief AI implementation officer at Mayo Clinic.

For example, researchers have developed AI models that can help clinicians detect pancreatic cancer early from routine abdominal scans before tumors are visible.

Building the foundation for responsible AI

Peter Lee, Ph.D., president of Microsoft Science, emphasized that AI in healthcare has rapidly moved from idea to infrastructure, with solutions such as ambient tools that capture data in patient care now widely used.

As these capabilities expand, healthcare organizations must build the governance, oversight and supporting infrastructure needed to deploy technologies safely, responsibly and reliably.

Tripathi compared this to building a car. "You defined an engine; that's great. But it doesn't have a chassis, doesn't have a steering wheel, doesn't have windshield wipers, it doesn't have lights," he said. "We need all of those things."

Speakers emphasized that human oversight remains essential, with clinicians and researchers responsible for evaluating information and making final decisions.

"The momentum is clearly growing," Dr. Tao said. "If AI is going to become a part of real clinical care, we need rigorous validation, a governance framework, workflow integration and translational maintenance. And that translation from innovation to responsible implementation is exactly where the field is heading next."

Other experts, including Yi Qian, vice president of Global Real World Evidence at Johnson & Johnson, highlighted approaches to creating trusted evidence and insights for clinical care.

Related

• Mayo Clinic and Microsoft collaborate to develop a frontier AI model for healthcare 
• How researchers are using AI to accelerate the path to cures (VIDEO)
• How 60 years of health data helped shape modern medicine

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