2023
DOI: 10.1007/s00464-023-10097-8
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Development of a cross-artificial intelligence system for identifying intraoperative anatomical landmarks and surgical phases during laparoscopic cholecystectomy

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Cited by 7 publications
(1 citation statement)
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“…Furthermore, Eckhoff et al [ 30 ] reported that a surgical phase recognition model of laparoscopic sleeve gastrectomy was applicable for transfer learning to the laparoscopic part of Ivor Lewis surgery, which suggests that it may be transferable to other techniques. Finally, Fujinaga et al [ 31 ] reported that an AI model combined with landmark detection and process classification in laparoscopic cholecystectomy shows potential to prevent bile duct injury.…”
Section: Surgery Phase Recognitionmentioning
confidence: 99%
“…Furthermore, Eckhoff et al [ 30 ] reported that a surgical phase recognition model of laparoscopic sleeve gastrectomy was applicable for transfer learning to the laparoscopic part of Ivor Lewis surgery, which suggests that it may be transferable to other techniques. Finally, Fujinaga et al [ 31 ] reported that an AI model combined with landmark detection and process classification in laparoscopic cholecystectomy shows potential to prevent bile duct injury.…”
Section: Surgery Phase Recognitionmentioning
confidence: 99%