Evaluating GPT4 on Impressions Generation in Radiology Reports

作者：Zhaoyi Sun, Hanley Ong, Patrick Kennedy, Liyan Tang, Shirley Chen, Jonathan Elias, Eugene Lucas, George Shih, Yifan Peng · 发表于：Radiology · 年份：2023 · DOI：10.1148/radiol.231259 · 被引用次数：159 · 研究领域：Topic Modeling、Artificial Intelligence in Healthcare and Education、Radiology practices and education

Generation of Impressions from radiology report Findings is a critical aspect of medical image analysis, assisting clinicians in making informed decisions (1).Traditionally, this process requires manual input from the interpreting radiologist, which can be time consuming and occasionally can be inconsistent with the Findings section.Fine-tuned pretrained models have shown promise in automating or proofreading this task (2); however, they often necessitate substantial training data sets, which may not always be accessible in specialized domains, such as radiology.The recent success of large language models, such Address correspondence to Y.P.