Artificial intelligence is rapidly moving into clinical workflows, diagnostic interpretation, care management, and payer decision-support. Yet adoption remains uneven. This webinar will examine how artificial intelligence—static, dynamic, and generative—is influencing clinical decision-making and coverage policy today. Panelists will discuss where AI is already adding value, where risks and limitations (including drift, hallucinations, bias, and validation gaps) still constrain use, and how health systems, innovators, and payers can evaluate emerging tools. Examples from radiology, oncology, and digital health will highlight what distinguishes scalable, evidence-based solutions from early-stage technologies not yet ready for clinical or reimbursement integration.
Moderator: Mark Hiatt, MD, MBA, MS, Chief Medical Officer, RadSite
- Frank Lexa, MD, MBA, FACR, Vice Chairman, Department of Radiology, University of Pittsburgh
- Samir Shah, MD, Chief Medical Officer, Quire.ai
- Jenifer Siegelman, MD, MPH, Principal, Photo 52 Group
Date & Time:
January 13, 2026
1PM to 2PM ET