征用
医学
口译(哲学)
医学物理学
放射科
癌症影像学
癌症
语言学
考古
内科学
历史
哲学
作者
Rajesh Bhayana,Omar Alwahbi,Aly Muhammad Ladak,Yangqing Deng,Adriano Basso Dias,Khaled Y. Elbanna,José María Gómez,Ankush Jajodia,Kartik Jhaveri,Susanne M. Johnson,Dilkash Kajal,David Wang,Christine Soong,Ania Z. Kielar,Satheesh Krishna
出处
期刊:Radiology
[Radiological Society of North America]
日期:2025-02-01
卷期号:314 (2): e242134-e242134
被引量:21
标识
DOI:10.1148/radiol.242134
摘要
Large language models enabled accurate automated clinical histories for oncologic imaging that were markedly more complete than original requisition histories and preferred by radiologists for image interpretation and safety.
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