From text to image:challenges in integrating vision into ChatGPT for medical image interpretationOA
Large language models(LLMs),such as ChatGPT developed by OpenAI,represent a significant advancement in artificial intelligence(AI),designed to understand,generate,and interpret human language by analyzing extensive text data.Their potential integration into clinical settings offers a promising avenue that could transform clinical diagnosis and decision-making processes in the future(Thirunavukarasu et al.,2023).This article aims to provide an in-depth analysis of LLMs’current and potential impact on clinical practices.Their ability to generate differential diagnosis lists underscores their potential as invaluable tools in medical practice and education(Hirosawa et al.,2023;Koga et al.,2023).
Shunsuke Koga;Wei Du;
Department of Pathology and Laboratory Medicine,Hospital of the University of Pennsylvania,Philadelphia,PA,USA
语言文学
imagediagnosistext
《Neural Regeneration Research》 2025 (002)
P.487-488 / 2
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