Defining the artificial intelligence knowledge gap in surgery: experience and perspectives from surgical resident and postgraduate.

Saved in:
Bibliographic Details
Title: Defining the artificial intelligence knowledge gap in surgery: experience and perspectives from surgical resident and postgraduate.
Authors: Dai Z; Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, 410011, China., Chen Z; Department of Orthopedics, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, 650051, China., Weng L; Department of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China., Guo L; The Big Data Institute, Central South University, Changsha, 410083, China., Dai Z; Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, China. f2daizhehao@csu.edu.cn.
Source: Updates in surgery [Updates Surg] 2026 May 21. Date of Electronic Publication: 2026 May 21.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 101539818 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2038-3312 (Electronic) Linking ISSN: 2038131X NLM ISO Abbreviation: Updates Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first