Application of artificial intelligence lesion labeling system-assisted endoscopic submucosal dissection for the treatment of esophageal lesions in a low-volume center: a prospective cohort study.

Saved in:
Bibliographic Details
Title: Application of artificial intelligence lesion labeling system-assisted endoscopic submucosal dissection for the treatment of esophageal lesions in a low-volume center: a prospective cohort study.
Authors: Li B; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Dong YL; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Liu JY; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Tan WM; School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China., He DL; Endoscopy Center, Xuhui Hospital, Zhongshan Hospital of Fudan University, Shanghai, China., Qi ZP; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Yu HH; Department of Gastroenterology, Kiang Wu Hospital, Macau SAR, China., Shi Q; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Ren Z; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Cai MY; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China., Cai SL; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China.; Endoscopy Center, Xuhui Hospital, Zhongshan Hospital of Fudan University, Shanghai, China., Yan B; School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China., Zhong YS; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China.; Endoscopy Center, Xuhui Hospital, Zhongshan Hospital of Fudan University, Shanghai, China.
Source: International journal of surgery (London, England) [Int J Surg] 2025 Sep 01; Vol. 111 (9), pp. 6093-6101. Date of Electronic Publication: 2025 Jun 20.
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
Description
ISSN:1743-9159
DOI:10.1097/JS9.0000000000002748