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

arXiv 2212.06809 ↗First posted 13 Dec 2022eess.IV cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 17 references that are in the map. First posted on arXiv 13 Dec 2022.

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4 of 17 references.

References · 4

  1. 2016EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videoscited by 366
  2. 2017Surgical Data Science: Enabling Next-Generation Surgerycited by 126
  3. 2020Surgical Data Science -- from Concepts toward Clinical Translationcited by 105
  4. 2018Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videoscited by 35

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