Appropriateness and Comprehensiveness of Using ChatGPT for Perioperative Patient Education in Thoracic Surgery in Different Language Contexts: Survey Study.

Shao, Chen-Ye; Li, Hui; Liu, Xiao-Long; Li, Chang; Yang, Li-Qin; Zhang, Yue-Juan; Luo, Jing; Zhao, Jun

Shao, Chen-Ye; Li, Hui; Liu, Xiao-Long; Li, Chang; Yang, Li-Qin; Zhang, Yue-Juan; Luo, Jing; Zhao, Jun.

Afiliación

Shao CY; Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Li H; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Liu XL; Department of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Li C; Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yang LQ; Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhang YJ; Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Luo J; Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhao J; Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.

Interact J Med Res ; 12: e46900, 2023 Aug 14.

Article en En | MEDLINE | ID: mdl-37578819

Palabras clave

AI; ChatGPT; Generative Pre-trained Transformer; artificial intelligence; clinical workflow; communication; education; evaluation; feasibility; language; language model; patient; patient education; surgery; thoracic; thoracic surgery; workflow

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Interact J Med Res Año: 2023 Tipo del documento: Article País de afiliación: China

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