A model for predicting the GEARS score from virtual reality surgical simulator metrics
作者： Ariel Kate Dubin , Danielle Julian , Alyssa Tanaka , Patricia Mattingly , Roger Smith
DOI: 10.1007/S00464-018-6082-7
关键词: Medical physics 、 Proficiency testing 、 Surgical simulator 、 Surgical education 、 Virtual reality 、 Medicine
摘要: Background Surgical education relies heavily upon simulation. Assessment tools include robotic simulator assessments and Global Evaluative of Robotic Skills (GEARS) metrics, which have been validated. Training programs use GEARS for proficiency testing; however, it requires a trained human evaluator. Due to limited time, learners are reliant on surgical feedback improve their skills. scores shown be correlated but in what capacity is unknown. Our goal develop model predicting score using metrics.
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Daniel J Kiely, Walter H Gotlieb, Susie Lau, Xing Zeng, Vanessa Samouelian, Agnihotram V Ramanakumar, Helena Zakrzewski, Sonya Brin, Shannon A Fraser, Pira Korsieporn, Laura Drudi, Joshua Z Press, None, Virtual reality robotic surgery simulation curriculum to teach robotic suturing: a randomized controlled trial Journal of Robotic Surgery. ,vol. 9, pp. 179- 186 ,(2015) , 10.1007/S11701-015-0513-4
Patrick Ramos, Jeremy Montez, Adrian Tripp, Casey K Ng, Inderbir S Gill, Andrew J Hung, None, Face, content, construct and concurrent validity of dry laboratory exercises for robotic training using a global assessment tool. BJUI. ,vol. 113, pp. 836- 842 ,(2014) , 10.1111/BJU.12559
G. Szekely, R. M Satava, Virtual reality in medicine BMJ. ,vol. 319, pp. 1305- 1305 ,(1999) , 10.1136/BMJ.319.7220.1305
Cyril Perrenot, Manuela Perez, Nguyen Tran, Jean-Philippe Jehl, Jacques Felblinger, Laurent Bresler, Jacques Hubert, The virtual reality simulator dV-Trainer(®) is a valid assessment tool for robotic surgical skills. Surgical Endoscopy and Other Interventional Techniques. ,vol. 26, pp. 2587- 2593 ,(2012) , 10.1007/S00464-012-2237-0
Andrew J Hung, Mukul B Patil, Pascal Zehnder, Jie Cai, Casey K Ng, Monish Aron, Inderbir S Gill, Mihir M Desai, None, Concurrent and Predictive Validation of a Novel Robotic Surgery Simulator: A Prospective, Randomized Study Journal of Urology. ,vol. 187, pp. 630- 637 ,(2012) , 10.1016/J.JURO.2011.09.154
Dimitrios Stefanidis, Nick Sevdalis, John Paige, Boris Zevin, Rajesh Aggarwal, Teodor Grantcharov, Daniel B Jones, Association for Surgical Education Simulation Committee, Simulation in surgery: what's needed next? Annals of Surgery. ,vol. 261, pp. 846- 853 ,(2015) , 10.1097/SLA.0000000000000826
Alvin C. Goh, David W. Goldfarb, James C. Sander, Brian J. Miles, Brian J. Dunkin, Global Evaluative Assessment of Robotic Skills: Validation of a Clinical Assessment Tool to Measure Robotic Surgical Skills Journal of Urology. ,vol. 187, pp. 247- 252 ,(2012) , 10.1016/J.JURO.2011.09.032
Andrew J Hung, Thomas Bottyan, Thomas G Clifford, Sarfaraz Serang, Zein K Nakhoda, Swar H Shah, Hana Yokoi, Monish Aron, Inderbir S Gill, None, Structured learning for robotic surgery utilizing a proficiency score: a pilot study World Journal of Urology. ,vol. 35, pp. 27- 34 ,(2017) , 10.1007/S00345-016-1833-3
Ariel K. Dubin, Roger Smith, Danielle Julian, Alyssa Tanaka, Patricia Mattingly, A Comparison of Robotic Simulation Performance on Basic Virtual Reality Skills: Simulator Subjective Versus Objective Assessment Tools. Journal of Minimally Invasive Gynecology. ,vol. 24, pp. 1184- 1189 ,(2017) , 10.1016/J.JMIG.2017.07.019
Tyler S. Wahl, Benjamin Wei, da Vinci Skills Simulator (Intuitive Surgical, Sunnyvale, CA, USA) showing segment of the lobectomy module—right upper lobectomy with vessel transection using a robotic stapler ASVIDE. ,vol. 5, pp. 852- 852 ,(2018) , 10.21037/ASVIDE.2018.852