Optimizing radiologist-AI collaboration in practice

As artificial intelligence becomes more advanced, its role in clinical diagnostics—especially radiology—is under intense scrutiny. While many hoped AI would simply enhance physician performance, emerging research shows that collaboration between humans and AI isn't always straightforward. In some cases, AI alone performs better than when paired with doctors who might underutilize it.

This webinar will explore real-world models of radiologist-AI collaboration, from AI-first and human-first workflows to full task separation for routine versus complex cases. Experts will unpack the reasons behind under- and over-reliance on AI, share lessons from large-scale international trials, and outline strategies for integrating AI into practice in a way that’s effective, ethical, and scalable.

1. Introduction
   (00:00:00~00:02:36)
2. Why AI alone isn’t enough—neither are humans (Moderator presentation)
   (00:02:37~00:07:00)
3. Overcoming trust gap: why clinicians still hesitate to rely on AI
   (00:07:01~00:21:03)
4. Barriers for generalizing AI-assisted radiology / Challenges hindering AI–radiologist collaboration
   (00:21:04~00:29:29)
5. How to make AI useful for radiologists, not distracting
   (00:29:30~00:49:13)
6. Existing and future examples of potential optimal AI integration and AI–radiologist collaboration
   (00:49:14~01:00:08)
7. Q&A
   (01:00:09~01:16:25)