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Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation

Image and Video Processing 2022-12-14 v1 Computer Vision and Pattern Recognition
Authors: Pietro Mascagni , Deepak Alapatt , Alfonso Lapergola , Armine Vardazaryan , Jean-Paul Mazellier , Bernard Dallemagne , Didier Mutter , Nicolas Padoy
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Abstract

Artificial intelligence is set to be deployed in operating rooms to improve surgical care. This early-stage clinical evaluation shows the feasibility of concurrently attaining real-time, high-quality predictions from several deep neural networks for endoscopic video analysis deployed for assistance during three laparoscopic cholecystectomies.

Keywords

artificial intelligence real-time assistance laparoscopic cholecystectomy deep neural networks endoscopic video clinical evaluation

Cite

@article{arxiv.2212.06809,
  title  = {Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation},
  author = {Pietro Mascagni and Deepak Alapatt and Alfonso Lapergola and Armine Vardazaryan and Jean-Paul Mazellier and Bernard Dallemagne and Didier Mutter and Nicolas Padoy},
  journal= {arXiv preprint arXiv:2212.06809},
  year   = {2022}
}

Comments

12 pages, 1 figure

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