AI Evaluation Showcase Invited Session: Evaluating Artificial Intelligence to Enable Patient Care

Presentation Time: 10:00 AM - 11:30 AM

Abstract Keywords: Machine Learning, Generative AI, and Predictive Modeling, Implementation Science and Deployment, Clinical Decision Support for Translational/Data Science Interventions
Primary Track: Data Science/Artificial Intelligence
Programmatic Theme: Health Data Science and Artificial Intelligence Innovation: From Single-Center to Multi-Site

As artificial intelligence (AI) continues to shape the future of healthcare, rigorous evaluation is critical to ensure its safety, efficacy, and equity in patient care. This panel brings together leaders implementing healthcare AI in their institutions to explore key frameworks for evaluating AI in real-world settings. Panelists will discuss best practices for evaluating AI models, measuring clinical impact, and addressing challenges such as bias, transparency, and regulatory compliance. The session will highlight case studies of AI deployment in hospitals and healthcare systems, offering insights into how institutions can integrate AI responsibly to enhance patient outcomes. Attendees will gain a deeper understanding of how to critically evaluate AI-driven solutions, ensuring they meet the highest standards of clinical excellence, ethical integrity, and regulatory compliance.
Moderator:
Yiye Zhang, PhD
Weill Cornell Medicine

Speaker(s):
Michael Draugelis, BS
Geisinger Health

Yindalon Aphinyanaphongs, MD
NYU Langone Health

Shyam Visweswaran, MD PhD
University of Pittsburgh

Michael Draugelis
Penn Medicine

Shauna Overgaard, Ph.D.
Mayo Clinic

Author(s):