Summary:

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 explores 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.

Attendees will have the opportunity to ask the panelists questions during a live Q&A session.

All delegates who attend will receive a certificate* of attendance.
*Please note that your full name, job title, and institution name submitted during registration are mandatory for issuing the certificate. If any of these details are missing, we will be unable to issue your certificate.