After the College of Medicine successfully launched a course on the fundamentals of artificial intelligence terminology and applications in medicine earlier this year, additional courses will soon enable clinicians and physician-scientists to dive deeper into the topic.

Courses II and III in AI applications from the College of Medicine are expected to become available early next year to all faculty and trainees at the college who want to learn about the programming skills and analysis required for a deeper understanding of AI algorithms and how they can be applied to medical research to improve patient care.

“A clinician can only assess so many images in a given day, whereas AI tools can process thousands of images in a matter of minutes or faster,” said François Modave, Ph.D., a professor of AI in the department of anesthesiology. “AI allows us to automate pre-screening to reduce the number of images clinicians have to review. There are always cases that are borderline, where a clinician’s eye becomes essential, but AI can sort out very efficiently all the cases of a clear ‘no issue’ or clear ‘yes, there is something here that requires a closer look.’”

As a community centered around education, research and patient care, meaningful innovation takes place year-round at the University of Florida College of Medicine. Through collaboration across departments and generations, the lives of our learners and patients are changed for the better.

This holiday season, we recognize the many teachers, caregivers and leaders who make our workspaces and classrooms places of true support. Hear from four past and present students as they thank the mentors who helped inspire and guide their careers at UF.

During National Diabetes Month, learn about a four-year, $10 million NIH grant that will allow the UF Diabetes Institute to establish a first-of-its-kind repository of tissue from human donors that can be used by researchers worldwide to study Type 1 and Type 2 diabetes.

Scientists hope these efforts, which will include harnessing the power of artificial intelligence, will eventually lead to new treatments that better manage or even prevent diabetes and its complications.

“This biobank represents the natural evolution of diabetes research from one having a major focus on studies of diabetes complications using animal models to the direct analysis of human tissue,” said Mark Atkinson, Ph.D., director of the institute.