NepogodievD, OmarOM, GlasbeyJC, LiE, SimoesJFF, et al.Elective surgery cancellations due to the COVID-19 pandemic: Global predictive modelling to inform surgical recovery plans. Br J Surg, 2020; 10.1002/bjs.11746.
2.
BirkmeyerJD, FinksJF, O'ReillyA, et al.Surgical skill and complication rates after bariatric surgery. N Engl J Med, 2013; 369:1434–1442.
3.
HungAJ, ChenJ, GhodoussipourS, et al.A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy. BJU Int, 2019; 124:487–495.
4.
HovgaardLH, AndersenSAW, KongeL, DalsgaardT, LarsenCR. Validity evidence for procedural competency in virtual reality robotic simulation, establishing a credible pass/fail standard for the vaginal cuff closure procedure. Surg Endosc, 2018; 32:4200–4208.
5.
RazaSJ, FieldE, JayC, et al.Surgical competency for urethrovesical anastomosis during robot-assisted radical prostatectomy: Development and validation of the robotic anastomosis competency evaluation. Urology, 2015; 85:27–32.
GuseilaLM, SaranathanA, JenisonEL, GilKM, EliasJJ. Using virtual reality to maintain surgical skills during periods of robotic surgery inactivity. J Robot Surg, 2014; 8:261–268.
