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