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

Journal: Surgical endoscopy
Published Date: Aug 20, 2025

Abstract

BACKGROUND: Laparoscopic cholecystectomy outcomes are significantly influenced by gallbladder inflammation severity, yet current intraoperative assessment remains subjective and lacks standardization. This study aimed to develop and validate an AI framework (ENDOLAP-IA) for real-time, objective severity classification to predict procedural difficulty and complications.

Authors

  • Norman A Rendón Mejía
    General Surgery Department, Chihuahua City General Hospital "Dr. Salvador Zubirán Anchondo", 510 Cristobal Columbus Avenue, 31000, Chihuahua, Mexico.
  • Said De la Cruz Rey
    Research and Postgraduate Secretary, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.
  • Carlos R Cervantes-Sánchez
    General Surgery Department, Chihuahua City General Hospital "Dr. Salvador Zubirán Anchondo", 510 Cristobal Columbus Avenue, 31000, Chihuahua, Mexico. ccervantes@uach.mx.
  • Eduardo Cañedo Figueroa
    Biomedical Engineering and Data Science Laboratory, Faculty of Medicine and Biomedical Sciences, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.
  • Graciela Ramírez Alonso
    Computer Vision and Data Science Lab, Faculty of Engineering, Autonomous University of Chihuahua, 31125, Chihuahua, Mexico.

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