Webinar: What Clinicians Need To Know when Using Artificial Intelligence and Machine Learning–Driven Technologies in Medical Decision Making

Register here to attend.

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.

The panel includes varied perspectives from: an engineer, a learner, a clinician, and an educator.

• Rada Mihalcea, PhD, Professor, Electrical Engineering & 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 & Pediatrics

The panel will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor, Pharmacy.