Ward TM, Mascagni P, Madani A, Padoy N, Perretta S, Hashimoto DA (2021) Surgical data science and artificial intelligence for surgical education. J Surg Oncol 124(2):221–230
Kumazu Y, Kobayashi N, Kitamura N, Rayan E, Neculoiu P, Misumi T, Hojo Y, Nakamura T, Kumamoto T, Kurahashi Y, Ishida Y, Masuda M, Shinohara H (2021) Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy. Sci Rep 11(1):21198
Article PubMed PubMed Central Google Scholar
Tashiro Y, Aoki T, Kobayashi N, Tomioka K, Kumazu Y, Akabane M, Shibata H, Hirai T, Matsuda K, Kusano T (2024) Color-coded laparoscopic liver resection using artificial intelligence: a preliminary study. J Hepatobiliary Pancreat Sci 31(2):67–68
Ryu S, Goto K, Kitagawa T, Kobayashi T, Shimada J, Ito R, Nakabayashi Y (2023) Real-time artificial intelligence navigation-assisted anatomical recognition in laparoscopic colorectal surgery. J Gastrointest Surg 27(12):3080–3082
Article PubMed PubMed Central Google Scholar
Kitaguchi D, Takeshita N, Matsuzaki H et al (2022) Deep learning-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision. Surg Endosc 36(2):1143–1151
Kennedy-Metz LR, Mascagni P, Torralba A et al (2021) Computer vision in the operating room: opportunities and caveats. IEEE Trans Med Robot Bionics 3(1):2–10
Hashimoto DA, Axelsson CG, Jones CB et al (2019) Surgical procedural map scoring for decision-making in laparoscopic cholecystectomy. Am J Surg 217(2):356–361
Kitaguchi D, Takeshita N, Matsuzaki H et al (2020) Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach. Surg Endosc 34(11):4924–4931
Madani A, Namazi B, Altieri MS et al (2022) Artificial intelligence for intraoperative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy. Ann Surg 276(2):363–369
Anteby R, Horesh N, Soffer S et al (2021) Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis. Surg Endosc 35(4):1521–1533
Chu TN, Wong EY, Ma R, Yang CH, Dalieh IS, Hung AJ (2023) Exploring the use of artificial intelligence in the management of prostate cancer. Curr Urol Rep 24(5):231–240
Article PubMed PubMed Central Google Scholar
Hung AJ, Chen J, Che Z et al (2018) Utilizing machine learning and automated performance metrics to evaluate robot-assisted radical prostatectomy performance and predict outcomes. J Endourol 32(5):438–444
Ward TM, Mascagni P, Ban Y et al (2021) Computer vision in surgery. Surgery 169(5):1253–1256
Azari DP, Frasier LL, Quamme SRP et al (2019) Modeling surgical technical skill using expert assessment for automated computer rating. Ann Surg 269(3):574–581
Article PubMed PubMed Central Google Scholar
Vasey B, Nagendran M, Campbell B et al (2022) Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nat Med 28(5):924–933
Article CAS PubMed Google Scholar
Liu X, Cruz Rivera S, Moher D et al (2020) Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. Nat Med 26(9):1364–1374
Comments (0)