Featured speakers included keynote speaker Shinjini Kundu, M.D., Ph.D., a radiologist at Johns Hopkins Medicine, and Elsie Ross, M.D., MSc., a vascular surgeon and research scientist at Stanford University, who led talks related to the role of AI in human judgment and the future of care. Other panels discussed using AI to improve health outcomes, the ethics of AI in medicine and methods for applying big data and new technologies in the delivery of care.
The conference also featured several national AI experts from the National Institutes of Health Common Fund’s Bridge to Artificial Intelligence, or BRIDGE2AI, CHoRUS project (Patient-Focused Collaborative Hospital Repository Uniting Standards for Equitable AI). CHoRUS, which involves several UF researchers, created a network of university health systems that will support a comprehensive repository of data for AI research from more than 100,000 critically ill patients.
“Our first AI4Health meeting exceeded our expectations for bringing together AI in health care experts from around the country with front-line clinicians and health care decision makers. In addition, our medical and graduate students impressed me with their focused attention and insightful questions; their generation will be the first to be fully immersed in AI-enabled health care,” said Azra Bihorac, M.D., M.S., the senior associate dean for research affairs and co-director of the Intelligent Critical Care Center at the UF College of Medicine.
A highlight of the conference was the Breakfast with the Experts sessions, which allowed participants to interact with health AI data science specialists by asking questions and receiving advice about individual projects.
The UF College of Medicine also hosted the AI for Clinical Care Workshop preconference on April 19 in collaboration with the Herbert Wertheim College of Engineering and the Intelligent Critical Care Center and sponsored by CHoRUS. The workshop offered AI skills and professional development training for health care learners and practitioners at the beginner and advanced stages.
Matt Goldman, a UF medical student who attended both the conference and workshop, commented on the value of AI training and collaboration across disciplines for all health scientists and practitioners.
“The experience highlighted how important it is for clinicians to understand the framework of how these AI models are born,” Goldman said. “The workshop demonstrated the operative fundamentals, fallbacks and wonders of artificial intelligence. It emphasized how clinicians must speak the language of data scientists to collaborate and help patients understand their own data.”
The conference’s success has generated an enthusiasm for the academic and clinical uses of AI that organizers hope to build upon for the 2024 meeting.
“We have received incredible feedback about the content and venue from people who attended, and we are very excited to take it to another level for next year’s conference. We hope to see all our attendees and even more colleagues in Orlando in April 2024!” Bihorac said.