Radiology Business March 25, 2025
Marty Stempniak

Large language models can accurately route interventional radiology procedure requests and do so for pennies apiece, according to new research published Monday.

Various subspecialists typically perform interventional procedures in hospitals, with changes in weekend and evening coverage further complicating matters. Referral-intake models can vary among institutions and range from a phone call with a covering radiologist to an EHR consult aided by electronic decision support.

Scientists with Duke University Medical Center are exploring the use of LLMs to aid in this task—with the models able to recognize requests and generate responses. They detailed their early learnings March 24 in the Journal of Vascular and Interventional Radiology.

“LLMs are potentially well-suited to translate complex call schedules and coverage...

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Topics: AI (Artificial Intelligence), Provider, Radiology, Survey / Study, Technology, Trends
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