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◆ Radiology2025-11-01· Medicine

A Prospective Controlled Trial of Large Language Model–based Simplification of Oncologic CT Reports for Patients with Cancer

Philipp Prucker, Keno K. Bressem, Jan C. Peeken, Mateo Jukic, Alexander W. Marka, Maximilian Strenzke, Su Hwan Kim, Christian Mertens, Dominik Weller, Tristan Lemke, Markus Graf, Sebastian Ziegelmayer, Avan Kader, Jacqueline Lammert, Mat Makowski, Felix Busch, Lisa C. Adams

原始摘要(英文原文)· Original abstract
< .001). Radiologist review revealed factual errors in 6% (moderate, 2%; severe, 4%), content omissions in 7% (minor, 2%; moderate, 1%; severe, 4%), and inappropriate additions in 3% (minor, 1%; moderate, 2%) of simplified reports. Conclusion LLM simplification of oncologic CT reports improved patient comprehension and reduced reading burden. However, clinically relevant errors were identified. © RSNA, 2025
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A Prospective Controlled Trial of Large Language Model–based Simplification of Oncologic CT Reports for Patients with Cancer — 科研速览 Science Skim