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Journal articles on the topic 'Surgical Skill'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Khan, M. S., S. D. Bann, A. Darzi, and P. E. M. Butler. "Assessing Surgical Skill." Plastic and Reconstructive Surgery 112, no. 7 (2003): 1886–89. http://dx.doi.org/10.1097/01.prs.0000091244.89368.3b.

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2

Golnik, Karl C., Hilary Beaver, Vinod Gauba, et al. "Cataract Surgical Skill Assessment." Ophthalmology 118, no. 2 (2011): 427–427. http://dx.doi.org/10.1016/j.ophtha.2010.09.023.

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3

Mishriki, S. F. "NICE forgot surgical skill." BMJ 337, no. 19 1 (2008): a2579. http://dx.doi.org/10.1136/bmj.a2579.

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4

Byrne, Michelle. "Skill Acquisition." AORN Journal 43, no. 6 (1986): 1312–17. http://dx.doi.org/10.1016/s0001-2092(07)65161-8.

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5

Liang, Hui, and Min Yong Shi. "Surgical Skill Evaluation Model for Virtual Surgical Training." Applied Mechanics and Materials 40-41 (November 2010): 812–19. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.812.

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As a safe, cost-effective, and easily accessible tool for gaining experience in surgery, the simulation-based surgical skill training has attracted more and more attention in modern hospitals and institutes. One of the most important advantages of virtual surgical training is affording useful instructional feedback to users. However, how to provide systemic and competitive surgical technique evaluation to trainees is still untouched. In this paper, for UK’s Royal Bournemouth Hospital virtual surgery system, we creatively constructed a surgical technique evaluation model which consists of stati

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6

Lee, Dongheon, Hyeong Won Yu, Hyungju Kwon, Hyoun-Joong Kong, Kyu Eun Lee, and Hee Chan Kim. "Evaluation of Surgical Skills during Robotic Surgery by Deep Learning-Based Multiple Surgical Instrument Tracking in Training and Actual Operations." Journal of Clinical Medicine 9, no. 6 (2020): 1964. http://dx.doi.org/10.3390/jcm9061964.

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As the number of robotic surgery procedures has increased, so has the importance of evaluating surgical skills in these techniques. It is difficult, however, to automatically and quantitatively evaluate surgical skills during robotic surgery, as these skills are primarily associated with the movement of surgical instruments. This study proposes a deep learning-based surgical instrument tracking algorithm to evaluate surgeons’ skills in performing procedures by robotic surgery. This method overcame two main drawbacks: occlusion and maintenance of the identity of the surgical instruments. In add

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7

Sato, Toshihiko. "Continuous improvement of surgical skill." Journal of Thoracic Disease 11, S9 (2019): S1186—S1187. http://dx.doi.org/10.21037/jtd.2019.03.88.

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8

Perez, Ray S., Anna Skinner, Peter Weyhrauch, et al. "Prevention of Surgical Skill Decay." Military Medicine 178, no. 10S (2013): 76–86. http://dx.doi.org/10.7205/milmed-d-13-00216.

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9

Siska, Van Bruwaene, Lissens Ann, De Win Gunter, et al. "Surgical Skill: Trick or Trait?" Journal of Surgical Education 72, no. 6 (2015): 1247–53. http://dx.doi.org/10.1016/j.jsurg.2015.05.004.

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10

Puri, Sidharth, and Shameema Sikder. "Cataract surgical skill assessment tools." Journal of Cataract & Refractive Surgery 40, no. 4 (2014): 657–65. http://dx.doi.org/10.1016/j.jcrs.2014.01.027.

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11

Phillips, Robert. "Cognitive scores measure surgical skill." Nature Reviews Urology 11, no. 3 (2014): 130. http://dx.doi.org/10.1038/nrurol.2014.26.

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12

Vaporciyan, Ara A. "Teaching and Learning Surgical Skill." Annals of Thoracic Surgery 101, no. 1 (2016): 12–14. http://dx.doi.org/10.1016/j.athoracsur.2015.11.037.

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13

Lendvay, Thomas S., Lee White, and Timothy Kowalewski. "Crowdsourcing to Assess Surgical Skill." JAMA Surgery 150, no. 11 (2015): 1086. http://dx.doi.org/10.1001/jamasurg.2015.2405.

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14

Ori, Michele, Luca D'Ascanio, and Giampietro Ricci. "Daytime Sleepiness and Surgical Skill." JAMA Facial Plastic Surgery 21, no. 4 (2019): 343–44. http://dx.doi.org/10.1001/jamafacial.2018.2040.

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15

Bakare, Prachi Nilraj, Rupali Maheshgauri, Deepaswi Bhavsar, and Renu Magdum. "Triad of rubric assessment, constructive feedback and video recorded surgeries key assessment for competent ophthalmic surgeon." Indian Journal of Clinical and Experimental Ophthalmology 7, no. 4 (2022): 703–6. http://dx.doi.org/10.18231/j.ijceo.2021.142.

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Ophthalmic surgery involves very precise surgical skill, which is difficult to teach and even more cumbersome in assessment of resident’s surgical skill. Hence it’s a need of time to adopt newer tool for transferring as well as assessing surgical skill. With this concept in mind International Council of Ophthalmology (ICO) has developed various tools for assessing surgical skills. If we use this tool not only as learning tool but also to give constructive feedback on the surgical skills of resident doctors it will help in creating a competent ophthalmic surgeon and eventually help society in g

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16

Rajaratnam, V., NA Rahman, UF Omar, and HJH Ng. "Mental practice in surgical training." Bulletin of the Royal College of Surgeons of England 103, no. 8 (2021): 403–8. http://dx.doi.org/10.1308/rcsbull.2021.145.

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Introduction The traditional methods of surgical training through apprenticeship are evolving owing to time constraints and new models of surgical training. Surgical programmes have begun to encompass technological advances such as simulation technology and online courses to improve surgical skills in a safe environment. Simulation training is not universally available because of financial constraints. Mental practice (MP) and motor imagery (MI) is a form of mental rehearsal and simulation without the need for external inputs. It has been successful in sports and music, and is a time and cost

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17

Mills, James T., Helen Y. Hougen, Daniel Bitner, Tracey L. Krupski, and Noah S. Schenkman. "Does Robotic Surgical Simulator Performance Correlate With Surgical Skill?" Journal of Surgical Education 74, no. 6 (2017): 1052–56. http://dx.doi.org/10.1016/j.jsurg.2017.05.011.

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18

Kasula, Jayasree, and Kodandapani Yerroju. "Skill of donning surgical gloves amongst residents: a neglected skill." International Surgery Journal 6, no. 9 (2019): 3142. http://dx.doi.org/10.18203/2349-2902.isj20193593.

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Background: Sepsis is a preventable cause of morbidity and mortality. Sepsis causes approximately 1 million new-born deaths annually. The global prevalence of maternal sepsis is 4.4% causing more than 5.7 million cases and one tenth of maternal deaths annually. Skin preparation, shaving and wound closure were some factors involved in surgical site infections. But the technique of wearing gloves in a sterile way has not received enough attention. Hence this cross sectional observational study was undertaken to assess the awareness and proficiency in this technique among the residents.Methods: 1

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19

De Witte, Benjamin, Franck Di Rienzo, Xavier Martin, Ye Haixia, Christian Collet, and Nady Hoyek. "Implementing Cognitive Training Into a Surgical Skill Course: A Pilot Study on Laparoscopic Suturing and Knot Tying." Surgical Innovation 25, no. 6 (2018): 625–35. http://dx.doi.org/10.1177/1553350618800148.

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Mini-invasive surgery—for example, laparoscopy—has challenged surgeons’ skills by extending their usual haptic space and displaying indirect visual feedback through a screen. This may require new mental abilities, including spatial orientation and mental representation. This study aimed to test the effect of cognitive training based on motor imagery (MI) and action observation (AO) on surgical skills. A total of 28 postgraduate residents in surgery took part in our study and were randomly distributed into 1 of the 3 following groups: (1) the basic surgical skill, which is a short 2-day laparos

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20

Wong, Jaime A., and Edward D. Matsumoto. "Primer: cognitive motor learning for teaching surgical skill—how are surgical skills taught and assessed?" Nature Clinical Practice Urology 5, no. 1 (2008): 47–54. http://dx.doi.org/10.1038/ncpuro0991.

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21

Smith, S., J. Torkington, N. Taffinder, and A. Darzi. "The objective assessment of surgical skill." Minimally Invasive Therapy & Allied Technologies 9, no. 5 (2000): 315–19. http://dx.doi.org/10.3109/13645700009061452.

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22

Kanehira, Eiji. "Who assesses your surgical skill? How?" Minimally Invasive Therapy & Allied Technologies 19, no. 1 (2010): 1. http://dx.doi.org/10.3109/13645700903516544.

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23

Azari, David, Caprice Greenberg, Carla Pugh, Douglas Wiegmann, and Robert Radwin. "In Search of Characterizing Surgical Skill." Journal of Surgical Education 76, no. 5 (2019): 1348–63. http://dx.doi.org/10.1016/j.jsurg.2019.02.010.

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24

Tseng, YaWei, Ira Papel, and S. Swaroop Vedula. "Daytime Sleepiness and Surgical Skill—Reply." JAMA Facial Plastic Surgery 21, no. 4 (2019): 344. http://dx.doi.org/10.1001/jamafacial.2018.2043.

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25

Black, Peter C. "Time to Start Measuring Surgical Skill? Commentary on: Surgical Skill and Complication Rates After Bariatric Surgery." Urology 83, no. 6 (2014): 1223–24. http://dx.doi.org/10.1016/j.urology.2014.01.045.

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26

Bonrath, Esther M., Nicolas J. Dedy, Lauren E. Gordon, and Teodor P. Grantcharov. "Comprehensive Surgical Coaching Enhances Surgical Skill in the Operating Room." Annals of Surgery 262, no. 2 (2015): 205–12. http://dx.doi.org/10.1097/sla.0000000000001214.

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27

Topalli, Damla, and Nergiz Ercil Cagiltay. "Classification of Intermediate and Novice Surgeons’ Skill Assessment Through Performance Metrics." Surgical Innovation 26, no. 5 (2019): 621–29. http://dx.doi.org/10.1177/1553350619853112.

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Background. Endoscopic surgeries have become an alternative for open procedures whenever possible. For such types of operations, surgeons are required to gain several skills, whose development needs hands-on practice. Accordingly, gaining these skills today is a challenge for surgical education programs. Despite the development of several technology-enhanced training environments, there are still problems to better integrate these technologies into educational programs. For an appropriate integration, it is critical to assess the skill levels and adapt the training content according to the tra

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28

Kumar, Suren, Narges Ahmidi, Greg Hager, Pankaj Singhal, Jason Corso, and Venkat Krovi. "Surgical Performance Assessment." Mechanical Engineering 137, no. 09 (2015): S7—S10. http://dx.doi.org/10.1115/1.2015-sep-7.

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This article focuses on human skill understanding in the context of surgical assessment and training which has enormous and immediate application potential to enhance healthcare delivery. Surgical procedural performance involves interplay of a highly dynamic system of inter-coupled perceptual, sensory, and cognitive components. Computer-Integrated Surgery systems are a quintessential part of modern surgical workflow owing to developments in miniaturization, sensors and computation. Robotic Minimally Invasive Surgery, and the engendered computer-integration, offers unique opportunities for quan

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29

Ebina, Koki, Takashige Abe, Lingbo Yan, et al. "A surgical instrument motion measurement system for skill evaluation in practical laparoscopic surgery training." PLOS ONE 19, no. 6 (2024): e0305693. http://dx.doi.org/10.1371/journal.pone.0305693.

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This study developed and validated a surgical instrument motion measurement system for skill evaluation during practical laparoscopic surgery training. Owing to the various advantages of laparoscopic surgery including minimal invasiveness, this technique has been widely used. However, expert surgeons have insufficient time for providing training to beginners due to the shortage of surgeons and limited working hours. Skill transfer efficiency has to be improved for which there is an urgent need to develop objective surgical skill evaluation methods. Therefore, a simple motion capture–based surg

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30

Lohre, Ryan, Bram Verhofste, Daniel Hedequist, Jeff Jacobson, and Danny Goel. "The Use of Immersive Virtual Reality (IVR) in Pediatric Orthopaedic Education." Journal of the Pediatric Orthopaedic Society of North America 4, S1 (2022): 1–11. http://dx.doi.org/10.55275/jposna-2022-0063.

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The traditional postgraduate surgical master-apprenticeship education model is undergoing a significant paradigm shift. For the past century, the transition from trainee to orthopaedic surgeon has been accomplished through stepwise integration of theoretical knowledge, observation of senior faculty, basic surgical skill acquisition, and gradual autonomy in complex procedures. Over the past decade, the explosion of virtual reality has heightened interest in this field for surgical residency training. The core principle of simulation training is “learning by doing” for acquisition and retention

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31

Pan, Mingzhang, Shuo Wang, Jingao Li, Jing Li, Xiuze Yang, and Ke Liang. "An Automated Skill Assessment Framework Based on Visual Motion Signals and a Deep Neural Network in Robot-Assisted Minimally Invasive Surgery." Sensors 23, no. 9 (2023): 4496. http://dx.doi.org/10.3390/s23094496.

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Surgical skill assessment can quantify the quality of the surgical operation via the motion state of the surgical instrument tip (SIT), which is considered one of the effective primary means by which to improve the accuracy of surgical operation. Traditional methods have displayed promising results in skill assessment. However, this success is predicated on the SIT sensors, making these approaches impractical when employing the minimally invasive surgical robot with such a tiny end size. To address the assessment issue regarding the operation quality of robot-assisted minimally invasive surger

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32

Kasa, Kevin, David Burns, Mitchell G. Goldenberg, Omar Selim, Cari Whyne, and Michael Hardisty. "Multi-Modal Deep Learning for Assessing Surgeon Technical Skill." Sensors 22, no. 19 (2022): 7328. http://dx.doi.org/10.3390/s22197328.

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This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruited for the knot-tying task, and were recorded using video, kinematic, and image data. Three expert human raters conducted the skills assessment using the Objective Structured Assessment of Technical Skill (OSATS) Global Rating Scale (GRS). We also designed and developed three deep learning models: a ResNet-based image model, a ResNet-LSTM kinematic

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33

Stansfield, Tim, and N. Tai. "Surgical skill decay in the contingency era." BMJ Military Health 167, no. 5 (2021): 300–301. http://dx.doi.org/10.1136/bmjmilitary-2021-001921.

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34

McElnay, Philip. "Surgical skill: is it nature versus nurture?" Clinical Teacher 11, no. 6 (2014): 442–43. http://dx.doi.org/10.1111/tct.12134.

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35

Kennedy, Ann-Marie, Sean Carroll, Oscar Traynor, and Anthony G. Gallagher. "Assessing Surgical Skill Using Bench Station Models." Plastic and Reconstructive Surgery 121, no. 5 (2008): 1869–70. http://dx.doi.org/10.1097/prs.0b013e31816b19bc.

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36

Koehler, Ryan J., Simon Amsdell, Elizabeth A. Arendt, et al. "The Arthroscopic Surgical Skill Evaluation Tool (ASSET)." American Journal of Sports Medicine 41, no. 6 (2013): 1229–37. http://dx.doi.org/10.1177/0363546513483535.

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37

Cauraugh, James H., Marcel Martin, and Karen Komer Martin. "Modeling surgical expertise for motor skill acquisition." American Journal of Surgery 177, no. 4 (1999): 331–36. http://dx.doi.org/10.1016/s0002-9610(99)00057-4.

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38

Huffman, Elizabeth, Nicholas Anton, John Martin, et al. "Optimizing Assessment of Surgical Knot Tying Skill." Journal of Surgical Education 77, no. 6 (2020): 1577–82. http://dx.doi.org/10.1016/j.jsurg.2020.05.004.

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39

Stephens, Elizabeth H., and Joseph A. Dearani. "Commentary: Surgical skill assessment: Time to examine?" Journal of Thoracic and Cardiovascular Surgery 160, no. 1 (2020): 242–43. http://dx.doi.org/10.1016/j.jtcvs.2020.01.004.

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40

Khan, Mansoor S., Simon D. Bann, Ara W. Darzi, and Peter E. M. Butler. "Assessing Surgical Skill Using Bench Station Models." Plastic and Reconstructive Surgery 120, no. 3 (2007): 793–800. http://dx.doi.org/10.1097/01.prs.0000271072.48594.fe.

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41

Singapogu, Ravikiran B., Lindsay O. Long, Dane E. Smith, et al. "Simulator-Based Assessment of Haptic Surgical Skill." Surgical Innovation 22, no. 2 (2014): 183–88. http://dx.doi.org/10.1177/1553350614537119.

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42

Panait, Lucian, Azhar Rafiq, Ahmed Mohamed, Charles Doarn, and Ronald C. Merrell. "Surgical Skill Facilitation in Videoscopic Open Surgery." Journal of Laparoendoscopic & Advanced Surgical Techniques 13, no. 6 (2003): 387–95. http://dx.doi.org/10.1089/109264203322656469.

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43

Chen, J., M. Yeasin, and R. Sharma. "Visual modelling and evaluation of surgical skill." Pattern Analysis & Applications 6, no. 1 (2003): 1–11. http://dx.doi.org/10.1007/s10044-002-0165-7.

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44

Shah, J., D. Buckley, J. Frisby, and A. Darzi. "Reaction time does not predict surgical skill." British Journal of Surgery 90, no. 10 (2003): 1285–86. http://dx.doi.org/10.1002/bjs.4180.

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45

Saleh, George M. "Objective Structured Assessment of Cataract Surgical Skill." Archives of Ophthalmology 125, no. 3 (2007): 363. http://dx.doi.org/10.1001/archopht.125.3.363.

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46

Byrnes, Kevin Gerard, and David Edward Kearney. "Assessment of Surgical Skill and Performance Variability." JAMA Surgery 155, no. 12 (2020): 1175. http://dx.doi.org/10.1001/jamasurg.2020.3781.

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47

Zia, Aneeq, and Irfan Essa. "Automated surgical skill assessment in RMIS training." International Journal of Computer Assisted Radiology and Surgery 13, no. 5 (2018): 731–39. http://dx.doi.org/10.1007/s11548-018-1735-5.

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48

Block, Ernest F. J., Lawrence Lottenberg, Lewis Flint, Joelle Jakobsen, and Dianna Liebnitzky. "Use of a Human Patient Simulator for the Advanced Trauma Life Support Course." American Surgeon 68, no. 7 (2002): 648–51. http://dx.doi.org/10.1177/000313480206800720.

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A highly anticipated and rewarding component of the Advanced Trauma Life Support (ATLS) program is the surgical skill station. Logistic, societal, and economic issues have resulted in development of human patient simulators (HPSs) as an alternative to the animal model. We studied initial student reaction to a simulator designed for this skill station. Fourteen participants in an ATLS Provider course completed the standard surgical skill stations and an experimental station using the Simulab Trauma Man HPS. After completion of the stations the students were asked to complete a 13-point satisfac

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49

Davies, Nigel, Francine Alexander, and Mike Larvin. "Simulation in surgical training: the College's role." Bulletin of the Royal College of Surgeons of England 93, no. 9 (2011): 318–19. http://dx.doi.org/10.1308/147363511x13135061294969.

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Traditionally, surgeons learned all of the complex knowledge, skills and judgement necessary to practise safe surgery over many years, during real procedures involving real patients. Trainees no longer spend many years under the close supervision of an expert surgeon, nor is it acceptable for trainees to acquire a skill on a patient without prior practice.

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50

Arora, C., A. Menzies, ES Han, M. Lee, JHJ Kim, and AP Advincula. "Surgical Skills Across the Spectrum: Comparing Surgical Skill Based on Surgical Experience Using a Standardized, High-Fidelity Total Laparoscopic Hysterectomy Model." Journal of Minimally Invasive Gynecology 26, no. 7 (2019): S76—S77. http://dx.doi.org/10.1016/j.jmig.2019.09.697.

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