The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

Ward TM, Mascagni P, Ban Y et al (2021) Computer vision in surgery. Surgery 169(5):1253–1256

Article  PubMed  Google Scholar 

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

Article  CAS  PubMed  PubMed Central  Google Scholar 

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