Researchers, clinicians and innovators are invited to submit their work for presentation during the Machine Learning for Healthcare Conference, which will be held Aug. 15–16.

Mayo Clinic is hosting this year's Machine Learning for Healthcare Conference Aug. 15–16. This premier event is at the intersection of machine learning, digital health technologies and clinical practices. It will be held at the Hilton Rochester Mayo Clinic.

The Machine Learning for Healthcare Conference is an annual research meeting that brings together clinicians, medical researchers and computer scientists with expertise in artificial intelligence (AI), machine learning and big data. The conference aims to support the advancement of data analytics, knowledge discovery and meaningful use of complex medical data by fostering collaborations and idea-sharing among attendees.

"Since its inception, the Machine Learning for Healthcare Conference has fostered groundbreaking collaboration and innovation in healthcare and machine learning," says David Vidal, J.D., vice chair of Artificial Intelligence Enablement for Mayo Clinic's Center for Digital Health and the local program co-chair for the conference. "Artificial intelligence and machine learning in healthcare are imperative in helping patients and their families connect to care in new ways, and Mayo Clinic is proud to be hosting this conference to continue advancing this important work."

Register for early bird tickets to the event.

Call for papers

Researchers, clinicians and innovators are invited to submit their work for presentation during the conference.

Papers will be accepted for the Research Track and Clinical Abstract Tracks.

Research Track (Archival): The themes for the Research Track include new methods, experimental machine learning design or validation studies integrated into the clinical practice, and studies on benchmarking and ability to reproduce the methods. The submission should be 10 to 15 pages (excluding references and appendices).

If accepted, at least one author will be expected to attend the conference. The accepted papers will be published in the Proceeding of Machine Learning Research.

Clinical Abstract Track (Nonarchival): The Clinical Abstract Track papers should focus on clinical problems that could benefit from machine learning advancements or translational achievements. The papers should be no longer than two pages. If the paper is accepted, at least one author is expected to attend the conference.

The authors of the top clinical abstracts will be invited to submit an enhanced version to Mayo Clinic Proceedings: Digital Health.

Submission guidelines

If you are interested in submitting your paper for the conference, you will need to send a letter of intent through OpenReview no later than April 10. You will need to create an account to submit your letter of intent. The final paper submission deadline is April 11.

"Researchers, clinicians, and innovators are invited to submit their work to the Machine Learning for Healthcare Conference—a premier venue to showcase cutting-edge research and real-world impact," says Shauna Overgaard, Ph.D., senior director of Artificial Intelligence Enablement for the Center for Digital Health and a local program co-chair for the conference. "This is a unique opportunity to advance the field, collaborate globally, and reinforce our shared commitment to patient-centered AI."

Click here to review the complete conference timeline.

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