ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology

Objectives To compare the diagnostic accuracy of Generative Pre-trained Transformer (GPT)-4-based ChatGPT, GPT-4 with vision (GPT-4V) based ChatGPT, and radiologists in musculoskeletal radiology. Materials and methods We included 106 “Test Yourself” cases from Skeletal Radiology between January 2014...

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Vydané v:	European radiology Ročník 35; číslo 1; s. 506 - 516
Hlavní autori:	Horiuchi, Daisuke, Tatekawa, Hiroyuki, Oura, Tatsushi, Shimono, Taro, Walston, Shannon L., Takita, Hirotaka, Matsushita, Shu, Mitsuyama, Yasuhito, Miki, Yukio, Ueda, Daiju
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2025 Springer Nature B.V
Predmet:	Accuracy Adult Aged Bone cancer Chatbots Clinical Competence - statistics & numerical data Clinical outcomes Data collection Diagnostic Radiology Female Humans Imaging Imaging Informatics and Artificial Intelligence Internal Medicine Interventional Radiology Male Medical diagnosis Medical history Medical imaging Medicine Medicine & Public Health Middle Aged Musculoskeletal Diseases - diagnostic imaging Neuroradiology Radiologists - statistics & numerical data Radiology Radiology - education Ultrasound Radiology Artificial intelligence Natural language processing
ISSN:	1432-1084, 0938-7994, 1432-1084
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