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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.
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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  Data: Development and validation of the ENDOLAP artificial intelligence framework for inflammation severity classification in laparoscopic cholecystectomy: a cross-sectional study.
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  Data: <searchLink fieldCode="AU" term="%22Mejía+NAR%22">Mejía NAR</searchLink>; General Surgery Department, Chihuahua City General Hospital 'Dr. Salvador Zubirán Anchondo', 510 Cristobal Columbus Avenue, 31000, Chihuahua, Mexico.<br /><searchLink fieldCode="AU" term="%22De+la+Cruz+Rey+S%22">De la Cruz Rey S</searchLink>; Research and Postgraduate Secretary, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.<br /><searchLink fieldCode="AU" term="%22Cervantes-Sánchez+CR%22">Cervantes-Sánchez CR</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Figueroa+EC%22">Figueroa EC</searchLink>; Biomedical Engineering and Data Science Laboratory, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.<br /><searchLink fieldCode="AU" term="%22Alonso+GR%22">Alonso GR</searchLink>; Computer Vision and Data Science Lab, Faculty of Engineering, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.
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  Data: <searchLink fieldCode="JN" term="%228806653%22">Surgical endoscopy</searchLink> [Surg Endosc] 2025 Oct; Vol. 39 (10), pp. 6670-6684. <i>Date of Electronic Publication: </i>2025 Aug 20.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8806653 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-2218 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209302794%22">09302794 </searchLink><i>NLM ISO Abbreviation: </i>Surg Endosc <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00464-025-12067-8
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      – Code: eng
        Text: English
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      – TitleFull: Development and validation of the ENDOLAP artificial intelligence framework for inflammation severity classification in laparoscopic cholecystectomy: a cross-sectional study.
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            NameFull: Mejía NAR
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              Text: 2025 Oct
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              Y: 2025
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              Value: 10
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