June 9, 2026 · Journal of the American College of Radiology : JACR · DOI: 10.1016/j.jacr.2026.06.001

"Enhancing Patient Understanding of Radiology Reports Through LLM-Generated Summaries, Clickable Terms, and AI Videos"

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The authors aimed to assess the impact of a web application that integrates clinician-edited large language model (LLM)-generated summaries, clickable definitions, and AI videos on patient comprehension of radiology reports. The study found that while overall comprehension improved significantly and many participants found the LLM summaries helpful, there were concerns about the reliability of LLM-generated content without clinician edits. This suggests that while LLM-driven tools can enhance patient understanding, their successful implementation may require ongoing professional oversight, which could pose challenges for scalability.

Hanzhou Li, John T Moon, Patricia Balthazar, Oanh Nguyen, Emily Patel, Ekaa Kasetty, Shriya Veluri, Zachary Bercu, Janice Newsome, Elizabeth Krupinski, Judy Gichoya, Hari Trivedi

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