News | Radiology Education | December 01, 2025

Platform trusted by 150,000+ trainees debuts conversational AI that simulates attending-level feedback on live case.

Navigating Radiology to Introduce Real-Time AI Voice 'Attending' for Radiology Education 

Image: Navigating Radiology


Nov. 28, 2025 – Navigating Radiology, an educational platform providing curated courses that teach the essentials for radiology practice is launching AI Voice Mode, a real-time conversational AI tool designed specifically for radiology education. The platform will debut the technology at RSNA 2025 in Booth 1201.

Founded by radiologist and educator Dr. Rajesh Bhayana, Navigating Radiology has trained more than 150,000 learners worldwide through a focus on the practical skills that actually matter for trainees. AI Voice Mode allows radiology trainees to talk through cases aloud while an AI Attending provides Socratic feedback in real time.

The tool simulates the experience of presenting to a senior radiologist, without the performance anxiety of a traditional readout.

"Expert radiologists have built a mental library of classic patterns – boxes that help us quickly categorize new cases," said Dr. Bhayana. "Our AI Voice Mode helps trainees build that library interactively, with the kind of sharp, guiding questions a real attending would ask."

Alongside AI Voice Mode, Navigating Radiology is also launching Radiology Knowledge Search, a specialized search engine built on trusted radiology sources. Unlike general-purpose AI tools, which can hallucinate or provide inaccurate citations, Radiology Knowledge Search delivers reliable, radiology-specific answers.

RSNA attendees can test both tools at Booth 1201. Trainees can also compete in the "One Scroll Challenge," where participants try to diagnose a case after a single scroll and interaction with the AI Attending.

Dr. Bhayana is a radiologist specializing in body MRI and an award-winning educator who has published multiple papers on AI applications in the journal Radiology, including on ChatGPT's performance on radiology board examinations, which has been cited more than 400 times. 
 

 


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