Panel Discussion: “What Clinicians Need To Know when Using Artificial Intelligence and Machine Learning-Driven Technologies in Medical Decision Making”
This is the third webinar in the series “Demystifying the Data, Processes, and Tools that Are Changing Clinical Care.”
Rada Mihalcea, PhD, Professor, Electrical Engineering and Computer Science, College of Engineering
Erkin Otles, Medical Scientist Training Program Fellow (MD-PhD student)
Max Spadafore, MD, Resident, Emergency Medicine
Cornelius James, MD, Assistant Professor, Internal Medicine and Pediatrics
Vicki Ellingrod, PharmD, Associate Research Dean and Professor, Pharmacy
What goes on behind the scenes when clinicians use these tools to provide evidence-based care? Our panel weighs in on what is important for clinicians to know and how confident they can be when using these tools. Our panelists also describe training necessary to use these tools effectively to support medical decisions.