From Concept to Clinic: What It Takes to Deploy and Commercialize AI in Radiology
Peter D. Chang is a radiologist, physician, and full-stack software engineer with over a decade of experience building FDA-cleared and CE-mark certified tools used in hospitals worldwide. At the University of California Irvine, Dr. Chang is a tenured Associate Professor and founding Director of the UCI Applied AI Research Center, a multi-specialty initiative to develop and integrate artificial intelligence technology across the healthcare system. He is also co-founder of multiple AI startups, including most recently Avicenna.ai, a company focused on deep learning for medical imaging diagnosis, and collaborates closely with industry partners from Nvidia, Amazon, Canon Medical, Palantir, and Bayer. Dr. Chang leverages his unique cross-disciplinary clinical, academic, and industry perspective to provide insights at the intersection of healthcare and AI technology.
Abstract: Navigating the path from proof-of-concept model to mature software device is a complex journey. In this talk, we discuss the next steps for bringing your model into the clinical workflow, from early local deployment to multisite validation. From a commercialization perspective, we review the logistics of FDA clearance including 510k, De Novo classification, and premarket approval, as well as summarize various popular business models for algorithm distribution. Finally, we highlight practical considerations and tradeoffs relevant to entrepreneurship as an academic physician and/or scientist.
