Radiology AI Podcast | RSNA

A Radiological Society of North America (RSNA) podcast focused on how AI is changing clinical radiology and allied sciences. It’s a strong platform for clinicians, AI researchers, and healthcare innovation leaders who can speak to governance, workflow integration, evaluation, and real-world impact.

63 episodes, Irregular, 5.0 rating

<1k, Neutral, USA

Instagram: 96.0k followers

podcasts@rsna.org

Satvik Tripathi, Dr. Paul Yi, Dr. Ali Tejani

Science, Health & Fitness, Medicine, Technology, Business

Clinician-investigators (MD/PhD) or senior AI/clinical AI leaders with measurable involvement in radiology AI (research, deployment, governance, informatics, or editorial/academic leadership). Strong candidates include leaders from academic radiology departments, AI institutes, health systems/clinical AI operations, and major radiology AI journals.

Leadership role in radiology AI programs, institutes, or clinical AI operations, Authorship or editorial leadership in radiology AI publications, Academic leadership (e.g., department AI vice-chair/center roles), Informatics/data science impact tied to imaging AI evaluation or deployment

Dr. Dania Daye - How AI Is Reshaping Radiology, Workflow Integration, Governance, Training Clinicians, Outcomedriven Evaluation, Foundation Models, And Future Radiologist Role, Linda Moy, MD - Academic/clinical Leadership On AI In Radiology; Future Directions And Contested Issues, Woojin Kim, MD - Strategic And Informatics Perspectives On Radiology Ai; Field Priorities And Evaluation, Nina Kottler, MD, MS - Enterprise Clinical AI Operations, Leadership Views On Ai’s Trajectory, And Practical Challenges, Charles Kahn, Jr., MD, MS - AI Developments In Radiology; Directions For The Field; Debates And Controversial Topics In Radiology/ai

Radiology, Medical Imaging, Artificial Intelligence, Clinical Governance, Healthcare Ai, Radiology Workflow, Model Evaluation, Clinical Training, Data Science, Regulatory