Development and validation of the ENDOLAP artificial intelligence framework for inflammation severity classification in laparoscopic cholecystectomy: a cross-sectional study.

Saved in:
Bibliographic Details
Title: Development and validation of the ENDOLAP artificial intelligence framework for inflammation severity classification in laparoscopic cholecystectomy: a cross-sectional study.
Authors: Mejía NAR; General Surgery Department, Chihuahua City General Hospital 'Dr. Salvador Zubirán Anchondo', 510 Cristobal Columbus Avenue, 31000, Chihuahua, Mexico., De la Cruz Rey S; Research and Postgraduate Secretary, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico., Cervantes-Sánchez CR; General Surgery Department, Chihuahua City General Hospital 'Dr. Salvador Zubirán Anchondo', 510 Cristobal Columbus Avenue, 31000, Chihuahua, Mexico. ccervantes@uach.mx.; Educational Research Department, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, México. ccervantes@uach.mx., Figueroa EC; Biomedical Engineering and Data Science Laboratory, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico., Alonso GR; Computer Vision and Data Science Lab, Faculty of Engineering, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.
Source: Surgical endoscopy [Surg Endosc] 2025 Oct; Vol. 39 (10), pp. 6670-6684. Date of Electronic Publication: 2025 Aug 20.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 8806653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2218 (Electronic) Linking ISSN: 09302794 NLM ISO Abbreviation: Surg Endosc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-2218
DOI:10.1007/s00464-025-12067-8