Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential

• Published in: Visual computing for industry, biomedicine and art Vol. 6; no. 1; pp. 9 - 10
• Main Authors: Lyu, Qing, Tan, Josh, Zapadka, Michael E., Ponnatapura, Janardhana, Niu, Chuang, Myers, Kyle J., Wang, Ge, Whitlow, Christopher T.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 18.05.2023; Springer Nature B.V; SpringerOpen
• Subjects: Artificial intelligence; CAE) and Design; Chatbots; ChatGPT; Computed tomography; Computer Graphics; Computer Imaging; Computer Science; Computer-Aided Engineering (CAD; Feasibility studies; Health care; Image Processing and Computer Vision; Language; Large language model; Large language models; Magnetic resonance imaging; Media Design; Medical screening; Original; Original Article; Patient education; Pattern Recognition and Graphics; Radiology; Radiology report; Translating; Vision; Large language model; Patient education; ChatGPT; Radiology report; Artificial intelligence

The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on translating radiology reports into plain language for patients and healthcare provide...