Gietelink L, Wouters MW, Bemelman WA, Dekker JW, Tollenaar RA, Tanis PJ et al (2016) Reduced 30-day mortality after laparoscopic colorectal cancer surgery: a population based study from the Dutch Surgical Colorectal Audit (DSCA). Ann Surg 264(1):135–140

Article  PubMed  Google Scholar 

Semm K (1988) Pelviscopic appendectomy. Dtsch Med Wochenschr 113(1):3–5

Article  CAS  PubMed  Google Scholar 

Aquina CT, Probst CP, Becerra AZ, Iannuzzi JC, Hensley BJ, Noyes K et al (2016) Missed opportunity: laparoscopic colorectal resection is associated with lower incidence of small bowel obstruction compared to an open approach. Ann Surg 264(1):127–134

Article  PubMed  Google Scholar 

McCormack K, Scott NW, Go PM, Ross S, Grant AM (2003) Laparoscopic techniques versus open techniques for inguinal hernia repair. Cochrane Database Syst Rev 2003(1):CD001785

PubMed  PubMed Central  Google Scholar 

Reynolds W Jr (2001) The first laparoscopic cholecystectomy. J Soc Laparoendosc Surg 5(1):89–94

Google Scholar 

Shaligram A, Unnirevi J, Simorov A, Kothari VM, Oleynikov D (2012) How does the robot affect outcomes? A retrospective review of open, laparoscopic, and robotic Heller myotomy for achalasia. Surg Endosc 26(4):1047–1050

Article  PubMed  Google Scholar 

Zureikat AH, Postlewait LM, Liu Y, Gillespie TW, Weber SM, Abbott DE et al (2016) A multi-institutional comparison of perioperative outcomes of robotic and open pancreaticoduodenectomy. Ann Surg 264(4):640–649

Article  PubMed  Google Scholar 

Cameron JL, He J (2015) Two thousand consecutive pancreaticoduodenectomies. J Am Coll Surg 220(4):530–536

Article  PubMed  Google Scholar 

Cameron JL, Riall TS, Coleman J, Belcher KA (2006) One thousand consecutive pancreaticoduodenectomies. Ann Surg 244(1):10–15

Article  PubMed  PubMed Central  Google Scholar 

Al Abbas AI, Borrebach JD, Pitt HA, Bellon J, Hogg ME, Zeh HJ 3rd et al (2021) Development of a novel pancreatoduodenectomy-specific risk calculator: an analysis of 10,000 patients. J Gastrointest Surg 25(6):1503–1511

Article  PubMed  Google Scholar 

Cuschieri A (1994) Laparoscopic surgery of the pancreas. J R Coll Surg Edinb 39(3):178–184

CAS  PubMed  Google Scholar 

Gagner M, Pomp A (1994) Laparoscopic pylorus-preserving pancreatoduodenectomy. Surg Endosc 8(5):408–410

Article  CAS  PubMed  Google Scholar 

Kendrick ML, Cusati D (2010) Total laparoscopic pancreaticoduodenectomy: feasibility and outcome in an early experience. Arch Surg 145(1):19–23

Article  PubMed  Google Scholar 

Palanivelu C, Rajan PS, Rangarajan M, Vaithiswaran V, Senthilnathan P, Parthasarathi R et al (2009) Evolution in techniques of laparoscopic pancreaticoduodenectomy: a decade long experience from a tertiary center. J Hepatobiliary Pancreat Surg 16(6):731–740

Article  CAS  PubMed  Google Scholar 

Zeh HJ 3rd, Bartlett DL, Moser AJ (2011) Robotic-assisted major pancreatic resection. Adv Surg 45:323–340

Article  PubMed  Google Scholar 

Zureikat AH, Beane JD, Zenati MS, Al Abbas AI, Boone BA, Moser AJ et al (2021) 500 minimally invasive robotic pancreatoduodenectomies: one decade of optimizing performance. Ann Surg 273(5):966–972

Article  PubMed  Google Scholar 

Nassour I, Winters SB, Hoehn R, Tohme S, Adam MA, Bartlett DL et al (2020) Long-term oncologic outcomes of robotic and open pancreatectomy in a national cohort of pancreatic adenocarcinoma. J Surg Oncol 122(2):234–242

Article  PubMed  Google Scholar 

Zeh HJ, Zureikat AH, Secrest A, Dauoudi M, Bartlett D, Moser AJ (2012) Outcomes after robot-assisted pancreaticoduodenectomy for periampullary lesions. Ann Surg Oncol 19(3):864–870

Article  PubMed  Google Scholar 

Al Abbas AI, Jung JP, Rice MK, Zureikat AH, Zeh HJ 3rd, Hogg ME (2019) Methodology for developing an educational and research video library in minimally invasive surgery. J Surg Educ 76(3):745–755

Article  PubMed  Google Scholar 

Birkmeyer JD, Finks JF, O’Reilly A, Oerline M, Carlin AM, Nunn AR et al (2013) Surgical skill and complication rates after bariatric surgery. N Engl J Med 369(15):1434–1442

Article  CAS  PubMed  Google Scholar 

Brown JA, Jung JP, Zenati MS, Simmons RL, Al Abbas AI, Hogg ME et al (2021) Video review reveals technical factors predictive of biliary stricture and cholangitis after robotic pancreaticoduodenectomy. HPB 23(1):144–153

Article  PubMed  Google Scholar 

Hogg ME, Zenati M, Novak S, Chen Y, Jun Y, Steve J et al (2016) Grading of surgeon technical performance predicts postoperative pancreatic fistula for pancreaticoduodenectomy independent of patient-related variables. Ann Surg 264(3):482–491

Article  PubMed  Google Scholar 

Jung JP, Zenati MS, Dhir M, Zureikat AH, Zeh HJ, Simmons RL et al (2018) Use of video review to investigate technical factors that may be associated with delayed gastric emptying after pancreaticoduodenectomy. JAMA Surg 153(10):918–927

Article  PubMed  PubMed Central  Google Scholar 

Rice MK, Zenati MS, Novak SM, Al Abbas AI, Zureikat AH, Zeh HJ 3rd et al (2019) Crowdsourced assessment of inanimate biotissue drills: a valid and cost-effective way to evaluate surgical trainees. J Surg Educ 76(3):814–823

Article  PubMed  Google Scholar 

Hashimoto DA, Rosman G, Rus D, Meireles OR (2018) Artificial intelligence in surgery: promises and perils. Ann Surg 268(1):70–76

Article  PubMed  Google Scholar 

Hung AJ, Liu Y, Anandkumar A (2021) Deep learning to automate technical skills assessment in robotic surgery. JAMA Surg 156(11):1059–1060

Article  PubMed  Google Scholar 

Luongo F, Hakim R, Nguyen JH, Anandkumar A, Hung AJ (2021) Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. Surgery 169(5):1240–1244

Article  PubMed  Google Scholar 

Feichtenhofer C (2020) X3D: expanding architectures for efficient video recognition. In: 2020 IEEE/CVF conference on computer vision and pattern recognition (CVPR), pp 200–210

Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN et al (2017) Attention is all you need. Adv Neur Inf Process Syst 30:5998–6008

Google Scholar 

Pele O, Werman M (2009) Fast and robust earth mover's distances. In: 2009 IEEE 12th international conference on computer vision, pp 460–467

Garrow CR, Kowalewski KF, Li L, Wagner M, Schmidt MW, Engelhardt S et al (2021) Machine learning for surgical phase recognition: a systematic review. Ann Surg 273(4):684–693

Article  PubMed  Google Scholar 

Ahmadi SA, Sielhorst T, Stauder R, Horn M, Feussner H, Navab N (2006) Recovery of surgical workflow without explicit models. Med Image Comput Comput Assist Interv 9(Pt 1):420–428

PubMed  Google Scholar 

Sodergren MH, Orihuela-Espina F, Clark J, Darzi A, Yang GZ (2010) A hidden Markov model-based analysis framework using eye-tracking data to characterise re-orientation strategies in minimally invasive surgery. Cogn Process 11(3):275–283

Article  PubMed  Google Scholar 

Kawka M, Gall TMH, Fang C, Liu R, Jiao LR (2022) Intraoperative video analysis and machine learning models will change the future of surgical training. Intell Surg 1:13–5

Article  Google Scholar 

Jin Y et al (2018) SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network. IEEE Trans Med Imaging 37(5):1114–25

Article  PubMed  Google Scholar 

Hashimoto DA, Rosman G, Witkowski ER, Stafford C, Navarette-Welton AJ, Rattner DW et al (2019) Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy. Ann Surg 270(3):414–421

Article  PubMed  Google Scholar 

Kitaguchi D, Takeshita N, Matsuzaki H, Takano H, Owada Y, Enomoto T 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 

Morita S, Tabuchi H, Masumoto H, Yamauchi T, Kamiura N (2019) Real-time extraction of important surgical phases in cataract surgery videos. Sci Rep 9(1):16590

Article  ADS  PubMed  PubMed Central  Google Scholar 

Ward TM, Hashimoto DA, Ban Y, Rattner DW, Inoue H, Lillemoe KD et al (2021) Automated operative phase identification in peroral endoscopic myotomy. Surg Endosc 35(7):4008–4015

Article  PubMed  Google Scholar 

Eppler MB, Sayegh AS, Maas M, Venkat A, Hemal S, Desai MM et al (2023) Automated capture of intraoperative adverse events using artificial intelligence: a systematic review and meta-analysis. J Clin Med 12(4):1687

Article  PubMed  PubMed Central  Google Scholar 

Shi P, Zhao Z, Liu K, Li F (2022) Attention-based spatial–temporal neural network for accurate phase recognition in minimally invasive surgery: feasibility and efficiency verification. J Comput Des Eng 9(2):406–416

Google Scholar 

Namazi B, Sankaranarayanan G, Devarajan V (2018) Automatic detection of surgical phases in laparoscopic videos. In: International conference on artificial intelligence (ICAI'18), pp 124–130