AIMI Grand Rounds: Applied Computational Pathology - Eric Yang, MD, PhD

The AIMI Grand Rounds, sponsored by the Center for Artificial Intelligence in Medicine and Imaging (AIMI), is a virtual series held on every fourth Tuesday. The series is a crucial initiative for disseminating the latest AI advancements in medicine, aiming to drive transformative innovations in healthcare. Stanford participants of the live event can claim 1.0 CME credits: AMA PRA Category 1 Credits ™ or Non-Physician Participation Credit.

Speaker:

Eric Yang, MD, PhD: Clinical Professor of Pathology, Stanford University 

Bio: Dr. Yang is a Clinical Professor of Pathology at Stanford University specializing in gynecologic pathology and cytopathology. His NIH-funded computational pathology research program focuses on advancing the field through new imaging technologies and AI-enabled diagnostic tools.

Abstract: Applied computational pathology brings together digital pathology and AI to support and improve routine diagnostic practice. This presentation highlights practical AI use cases across the pre-analytical, analytical, and post-analytical stages of the pathology workflow. It also examines key deployment challenges, including slide digitization, AI model compatibility, and building pathologist confidence in AI outputs. The session aims to provide a concise overview of the current landscape of AI in pathology.