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Pilot study on automatic creation of surgical records by using deep learning for laparoscopic cholecystectomy Aika EJIMA 1 , Tatsushi TOKUYASU 2 , Yusuke MATSUNOBU 2 , Ken'ichi SHINOZUKA 2 , Masahiro KAWAMURA 3 , Teijiro HIRASHITA 3 , Yuichi ENDO 3 , Masafumi INOMATA 3 1Department of Information System and Engineering, Graduate School of Engineering, Fukuoka Institute of Technology 2Department of Information System and Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology 3Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University Keyword: 手術記録 , 深層学習 , 腹腔鏡下胆囊摘出術 pp.327-333
Published Date 2024/9/15
DOI https://doi.org/10.11477/mf.4426201176
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 A surgical report must be promptly prepared after surgery, as required by the Enforcement Regulations on the Medical Care Act. Preparing a surgical record involves educational components for surgeons, thus demanding considerable amount of time and effort. Recently, a high-resolusion video recording of the operation field during endoscopic surgery has become popular. Furthermore, recent image recognition technology based on deep learning can accurately identify operation phases, instruments, and anatomical structures in endoscopic images. This means that objective facts from the surgery can be technically obtained as digial data. In this study, we conducted a pilot study aimed at automating the surgical record process. We achieved this by creating a comprehensive list of surgical procedures for laparoscopic cholecystectomy and then correlating this list with the recording information provided by deep learning models.


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電子版ISSN 2186-6643 印刷版ISSN 1344-6703 日本内視鏡外科学会

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