Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT

被引:207
作者
Lecler, Augustin [1 ,2 ]
Duron, Loic [1 ]
Soyer, Philippe [2 ,3 ]
机构
[1] Fdn Adolphe De Rothschild Hosp, Dept Neuroradiol, F-75019 Paris, France
[2] Univ Paris Cite, F-75006 Paris, France
[3] Hop Cochin, AP HP, Dept Radiol, F-75014 Paris, France
关键词
Artificial intelligence; ChatGPT; Generative pre -trained transformer (GPT); Radiology; ARTIFICIAL-INTELLIGENCE;
D O I
10.1016/j.diii.2023.02.003
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Artificial intelligence has demonstrated utility and is increasingly being used in the field of radiology. The use of generative pre-trained transformer (GPT)-based models has the potential to revolutionize the field of radiology, offering new possibilities for improving accuracy, efficiency, and patient outcome. Current applications of GPT-based models in radiology include report generation, educational support, clinical decision support, patient communication, and data analysis. As these models continue to advance and improve, it is likely that more innovative uses for GPT-based models in the field of radiology at large will be developed, further enhancing the role of technology in the diagnostic process. ChatGPT is a variant of GPT that is specifically fine-tuned for conversational language understanding and generation. This article reports some answers provided by ChatGPT to various questions that radiologists may have regarding ChatGPT and identifies the potential benefits ChatGPT may offer in their daily practice but also current limitations. Similar to other applications of artificial intelligence in the field of imaging, further formal validation of ChatGPT is required. & COPY; 2023 Societe francaise de radiologie. Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:269 / 274
页数:6
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