Optimizing radiologist-AI collaboration in practice
Date & Time:
LIVE: Oct 30, 2025 19:00–20:10 (EDT)
Rebroadcast 1: Nov 11, 2025 19:00–20:10 (CET)
Rebroadcast 2: Nov 11, 2025 17:00–18:10 (SGT)
Overview:
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.
Attendees will have the opportunity to ask the panelists questions during a live Q&A session. We hope you can join us.
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.
Attendees will have the opportunity to ask the panelists questions during a live Q&A session. We hope you can join us.
Moderator: Dr. Mindy Yang, MD
Breast Radiologist, Imaging Informacist,
Dept. of Radiology, Englewood Hospital,
Clinical Director of AI,
Radiology Partners,
Kailuea, Hawaii,
the USA
Breast Radiologist, Imaging Informacist,
Dept. of Radiology, Englewood Hospital,
Clinical Director of AI,
Radiology Partners,
Kailuea, Hawaii,
the USA
Panelist: Prof. Pranav Rajpurkar, PhD
Associate Professor of Biomedical Informatics,
Harvard University, Blavatnik Institute, Biomedical Informatics,
Co-founder of a2z Radiology AI.
Boston, Massachusetts, the USA
Associate Professor of Biomedical Informatics,
Harvard University, Blavatnik Institute, Biomedical Informatics,
Co-founder of a2z Radiology AI.
Boston, Massachusetts, the USA
Panelist: Prof. Curtis P. Langlotz, MD, PhD, FACMI, FSIIM
Senior Associate Vice Provost for Research,
Professor of Radiology (Integrative Biomedical Imaging Informatics),
of Medicine (BMIR), of Biomedical Data Science,
Senior Fellow at the Stanford Institute for Human-Centered AI,
Stanford University, Stanford, California,
President of the Radiological Society of North America (RSNA) Board of Directors,
the USA
Senior Associate Vice Provost for Research,
Professor of Radiology (Integrative Biomedical Imaging Informatics),
of Medicine (BMIR), of Biomedical Data Science,
Senior Fellow at the Stanford Institute for Human-Centered AI,
Stanford University, Stanford, California,
President of the Radiological Society of North America (RSNA) Board of Directors,
the USA
Panelist: Prof. Kenji Suzuki,PhD
Professor of Biomedical Artificial Intelligence
Director, BioMedical Artificial Intelligence Research Unit (BMAI),
Institute of Integrated Research (IIR),
Institute of Science Tokyo,
Yokohama, Japan
Professor of Biomedical Artificial Intelligence
Director, BioMedical Artificial Intelligence Research Unit (BMAI),
Institute of Integrated Research (IIR),
Institute of Science Tokyo,
Yokohama, Japan
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