Retrieval-Augmented Generation for Large Language Models in Radiology: Another Leap Forward in Board Examination Performance.

IF 12.1 1区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Radiology Pub Date : 2024-10-01 DOI:10.1148/radiol.241489

Rajesh Bhayana, Aly Fawzy, Yangqing Deng, Robert R Bleakney, Satheesh Krishna

引用次数: 0

Abstract

Supplemental material is available for this article. See also the editorial by Forghani in this issue.

查看原文本刊更多论文

放射学大语言模型的检索增强生成：董事会考试成绩的又一次飞跃。

本文有补充材料。另见本期 Forghani 的社论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Radiology 医学-核医学

CiteScore

35.20

自引率

3.00%

发文量

596

审稿时长

3.6 months

期刊介绍： Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.