AI Will Not Replace Radiologists. Here Is What It Will Do.

Most health systems want to deploy AI. Very few know how to govern it without stalling for years. Dr. Shlomit Stein has built the model that actually works. Dr. Stein is Professor of Radiology at the Zucker School of Medicine at Hofstra Northwell, Director of AI for Enterprise Imaging at Northwell Health, and Program Director for the Radiology Residency at Lenox Hill Hospital. In this episode, she shares why she deliberately shifted her organization's language from "AI governance" to "AI management and coordination" — and why that distinction changes everything about how decisions get made. She also explains how radiology became the testing ground for clinical AI across health systems, what a trust-based governance model with agile working groups actually looks like in practice, and why training residents with AI integration — not without it — is the only responsible path forward. Plus: two book recommendations you wouldn't expect, including why Getting to Yes belongs in every AI leader's toolkit. Timestamps: • 1:44 Leadership journey: From clinical excellence to AI strategy • 4:39 Why the biggest AI barriers are organizational, not technical • 6:08 What effective AI governance looks like in real workflows • 7:33 From AI governance to AI management and coordination • 9:34 Core AI teams and agile working groups explained • 11:25 Why radiology is the tip of the spear for health system AI • 13:00 How other departments are learning from radiology • 15:05 AI will not replace radiologists — what it will do instead • 17:30 Automation bias, efficiency vs. quality, and the hybrid reality • 20:06 Training residents in an AI-integrated world • 22:00 The "true positive wow" conference series • 26:17 The sandwich generation and why withholding AI is the wrong call • 27:00 Book recommendations: Getting to Yes and Kafka on the Shore What is the biggest governance challenge your organization faces with AI? Share in the comments.