AngelPower FL
SCB@Chongqing
SDUCATS Track 2:
Fuji
Gerstein Lab
JD-Vishva
iSync
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Keynote Talk: From prototype to practice: Bridging the medical AI implementation gap
Bio
Dr. Gichoya is an associate professor at Emory university in Interventional Radiology and Informatics leading the HITI (Healthcare AI Innovation and Translational Informatics) lab. Her work is centered around using data science to study health equity. Her group works in 4 areas - building diverse datasets for machine learning (for example the Emory Breast dataset); evaluating AI for bias and fairness; validating AI in the real world setting and training the next generation of data scientists (both clinical and technical students) through hive learning and village mentoring. She serves as the program director for radiology: AI trainee editorial board and the medical students machine learning elective. She has mentored over 60 students across the world (now successful faculty, post doc, PHD and industry employees) from several institutions around the world.
Abstract
Medical AI systems that demonstrate impressive performance in controlled research settings frequently underperform or fail when deployed in real-world clinical environments. The gap between "proof of concept" and sustained clinical value lies not in algorithmic sophistication, but in the quality infrastructure supporting deployment. This talk presents a practical implementation science framework addressing three critical components: label quality control, real-world monitoring, and post-market surveillance.
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