June
Tuesday, June 23, 2026
8:00am-9:00am PT
RSVP for Webinar
Amy Hong, MD, PhD
Assistant Professor
Stanford University
Title: The Hidden Layer: Radiologist–AI Interaction
Abstract: Advances in vision and vision-language models have led to improved benchmark performance for a range of radiologic tasks. This talk will examine radiologist–AI interaction as a component of the overall system, with a focus on how model outputs are interpreted and used by clinicians in practice. Using examples from chest radiography and CT reader studies, the session will explore how factors such as output representation, uncertainty, and error characteristics may influence interpretation and reporting. The talk will also discuss considerations for evaluating AI systems beyond standalone model performance.
Eun Kyoung (Amy) Hong, MD, PhD is a thoracic radiologist and physician-scientist at Stanford Radiology with a research focus on clinical evaluation of artificial intelligence in chest imaging. Her work centers on radiologist–AI interaction, generative AI for radiologic reporting, and the downstream clinical and workflow implications of AI deployment. She has led multi-institutional studies examining automation bias and variability in AI-assisted reporting across chest radiography and CT. Her research bridges technical AI performance with clinical deployment realities.