The future implementation of artificial intelligence technology in esophageal surgery

References

[1] Ross SB,Sucandy I. Robotic transhiatal esophagectomy. In: Novitsky YW, editor. Atlas of robotic general surgery. Elsevier; 2021. Available from: https://shop.elsevier.com/books/atlas-of-robotic-general-surgery/novitsky/978-0-323-69780-4. [Last accessed on 26 Dec 2023]

[2] Jacoby H,Sucandy I.The effect of body mass index on robotic transhiatal esophagectomy for esophageal adenocarcinoma.Am Surg2022;88:2204-9

[3] Ross SB,Thomas J.Evaluating the cost for robotic vs “non-robotic” transhiatal esophagectomy.Am Surg2022;88:389-93

[4] Esagian SM,Skarentzos K.Robot-assisted minimally invasive esophagectomy versus open esophagectomy for esophageal cancer: a systematic review and meta-analysis.Cancers2022;14:3177 PMCID:PMC9264782

[5] Wu H,Du F.Transhiatal versus transthoracic surgical approach for Siewert type II adenocarcinoma of the esophagogastric junction: a meta-analysis.Expert Rev Gastroenterol Hepatol2020;14:1107-17

[6] Barreto JC.Transhiatal versus transthoracic esophagectomy for esophageal cancer.World J Gastroenterol2010;16:3804-10 PMCID:PMC2921092

[7] Chang AC,Birkmeyer NJ,Birkmeyer JD.Outcomes after transhiatal and transthoracic esophagectomy for cancer.Ann Thorac Surg2008;85:424-9

[8] Bolton JS.Transthoracic or transhiatal esophagectomy for cancer of the esophagus - does it matter?.Surg Oncol Clin N Am2002;11:365-75

[9] Cheng Q.Da Vinci robot-assisted video image processing under artificial intelligence vision processing technology.Comput Math Methods Med2022;2022:2752444 PMCID:PMC9078793

[10] van der Sluis PC, Ruurda JP, van der Horst S, Goense L, van Hillegersberg R. Learning curve for robot-assisted minimally invasive thoracoscopic esophagectomy: results from 312 cases.Ann Thorac Surg2018;106:264-71

[11] Claassen L,Rosman C.Learning curve and postoperative outcomes of minimally invasive esophagectomy.J Thorac Dis2019;11:S777-85 PMCID:PMC6503284

[12] Kingma BF,Van der Sluis PC.A structured training pathway to implement robot-assisted minimally invasive esophagectomy: the learning curve results from a high-volume center.Dis Esophagus2020;33:doaa047

[13] Rebecchi F,Salzano A,Morino M.Robot-assisted minimally invasive esophagectomy (RAMIE) with side-to-side semi-mechanical anastomosis: analysis of a learning curve.Updates Surg2022;74:907-16

[14] Kamarajah SK,Wahed S.Significance of neoadjuvant downstaging in carcinoma of esophagus and gastroesophageal junction.Ann Surg Oncol2020;27:3182-92 PMCID:PMC7410857

[15] Ross SB,Saeed SM,Rosemurgy AS.Robotics in surgery: is a robot necessary? For what?.Minerva Chir2017;72:61-70

[16] Kröner PT,Glicksberg BS.Artificial intelligence in gastroenterology: a state-of-the-art review.World J Gastroenterol2021;27:6794-824 PMCID:PMC8567482

[17] Gumbs AA,Bourdel N.The advances in computer vision that are enabling more autonomous actions in surgery: a systematic review of the literature.Sensors2022;22:4918 PMCID:PMC9269548

[18] Mirchi N,Yilmaz R,Winkler-Schwartz A.The virtual operative assistant: an explainable artificial intelligence tool for simulation-based training in surgery and medicine.PLoS One2020;15:e0229596 PMCID:PMC7046231

[19] Crigger E,Hanson C,Blake K.Trustworthy augmented intelligence in health care.J Med Syst2022;46:12 PMCID:PMC8755670

[20] Domínguez-Rosado I.The future of technology and robotics in surgery.Rev Invest Clin2021;73:326-8

[21] Chadebecq F,Mazomenos E.Computer vision in the surgical operating room.Visc Med2020;36:456-62 PMCID:PMC7768144

[22] Yang JH,Dawes AJ.Using AI and computer vision to analyze technical proficiency in robotic surgery.Surg Endosc2023;37:3010-7

[23] Kiyasseh D,Haque TF.Human visual explanations mitigate bias in AI-based assessment of surgeon skills.NPJ Digit Med2023;6:54 PMCID:PMC10063676

[24] Loftus TJ,Filiberto AC.Artificial intelligence and surgical decision-making.JAMA Surg2020;155:148-58 PMCID:PMC7286802

[25] den Boer RB,de Jongh C.Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy.Surg Endosc2023;37:5164-75 PMCID:PMC10322962

[26] De Backer P,Simoens J.Multicentric exploration of tool annotation in robotic surgery: lessons learned when starting a surgical artificial intelligence project.Surg Endosc2022;36:8533-48

[27] Hashimoto DA,Rus D.Artificial intelligence in surgery: promises and perils.Ann Surg2018;268:70-6

[28] Saeidi H,Kam M.Autonomous robotic laparoscopic surgery for intestinal anastomosis.Sci Robot2022;7:eabj2908 PMCID:PMC8992572

[29] Gumbs AA,Spolverato G.Artificial intelligence surgery: how do we get to autonomous actions in surgery?.Sensors2021;21:5526 PMCID:PMC8400539