Development of a cross-artificial intelligence system for identifying intraoperative anatomical landmarks and surgical phases during laparoscopic cholecystectomy.
Atsuro FujinagaYuichi EndoTsuyoshi EtohMasahiro KawamuraHiroaki NakanumaTakahide KawasakiTakashi MasudaTeijiro HirashitaMisako KimuraYusuke MatsunobuKen'ichi ShinozukaYuki TanakaToshiya KamiyamaTakemasa SugitaKenichi MorishimaKohei EbeTatsushi TokuyasuMasafumi InomataPublished in: Surgical endoscopy (2023)
The cross-AI system provided landmark detection at appropriate situations. The surgeons who previewed the model suggested that the landmark information provided by the cross-AI system may be effective in preventing BDI. Therefore, it is suggested that our system could help prevent BDI in practice. Trial registration University Hospital Medical Information Network Research Center Clinical Trial Registration System (UMIN000045731).