Large language model ChatGPT in healthcare scenarios: a global-scale, cross-sectional, machine learning-based informatics study.

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Bibliographic Details
Title: Large language model ChatGPT in healthcare scenarios: a global-scale, cross-sectional, machine learning-based informatics study.
Authors: Guo SB; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; Department of VIP Inpatient, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China., Shen XM; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China., Yao XW; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; Department of VIP Inpatient, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China., Jiang L; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; Department of VIP Inpatient, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China., Meng Y; Digestive Diseases Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, P. R. China., Cai XY; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; Department of VIP Inpatient, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Source: International journal of surgery (London, England) [Int J Surg] 2025 Dec 04. Date of Electronic Publication: 2025 Dec 04.
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Health, Inc Country of Publication: United States NLM ID: 101228232 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1743-9159 (Electronic) Linking ISSN: 17439159 NLM ISO Abbreviation: Int J Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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