Machine learning-based detection of electrosurgical device-induced bleeding in laparoscopic videos of diaphragmatic hernia repair.

Journal: Surgical endoscopy
Published Date: Aug 18, 2025

Abstract

BACKGROUND: Electrosurgical devices provide significant advantages for tissue dissection in laparoscopic procedures. However, achieving optimal hemostasis while minimizing tissue coagulation is challenging. Monitoring device-induced bleeding will provide viable information for surgical skills assessment. We aimed to automatically detect bleeding induced by electrosurgical device use in laparoscopic videos using machine learning.

Authors

  • Vincent J Ribbens
    Surgery Department, Meander Medical Centre, Maatweg, 3818 TZ, Amersfoort, Utrecht, The Netherlands.
  • Simon C Baltus
    Surgery Department, Meander Medical Centre, Maatweg, Amersfoort, 3818 TZ, Utrecht, The Netherlands. sc.baltus@meandermc.nl.
  • Can Ozan Tan
    Robotics and Mechatronics, University of Twente, Drienerlolaan, 5722 NB, Enschede, Overijssel, The Netherlands.
  • Ivo A M J Broeders
    Department of Robotics and Mechatronics, University of Twente, Enschede, the Netherlands.

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