Competency assessment for the Versius surgical robot: a validity investigation study of a virtual reality simulator-based test

Bjerrum, Flemming; Collins, Justin; Butterworth, Jessica; Slack, Mark; Konge, Lars

doi:10.1007/s00464-023-10221-8

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…Twenty-seven, robotic-naive, General Surgery residents and specialists performed suture 2.6 fold faster and with more precision in the robot training box than in the laparoscopic training box . Other programs, developed for other robotic systems, including virtual simulators, showed that simulation-based programs will continue to be key to surgical education [ 28 ], specially for learning and improve performance in Robotic Surgery in a patient safe environment [ 29 ]. Although our models have a low cost production, they are designed with a special focus on surgical concepts, procedure steps, and anatomical landmarks to make the simulation as accurate as possible and to allow skills assessment.…”

Section: Discussionmentioning

confidence: 99%

RAWS4all project: validation of a new silicone model for robotic TAPP inguinal hernia repair

Gonçalves,

Morales-Conde,

Gaspar Reis

et al. 2023

Surg Endosc

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Background Trans-abdominal pre-peritoneal (TAPP) hernia repair is a complex procedure that presents several challenges. Even though, due to the high prevalence of inguinal hernia, TAPP technique is increasing in frequency and robotic Abdominal Wall Surgery (rAWS) is emerging as a valuable tool in this regard. Although inguinal TAPP procedure principles have been published and simulation is needed, the availability of validated models remains scarce. Methods A new low-cost model was developed to simulate inguinal rTAPP repair. For validity assessment, a new TAPP-specific fidelity questionnaire and assessment scale were developed to compare the performance of novices and experts in the simulated procedure. The models used were assessed at 60 min for execution and quality score. Results Twenty-five residents and specialists from all over the country participated in this study. Execution, quality, and global performance was higher in the seniors group compared to juniors (8.91 vs 6.36, p = 0.02; 8.09 vs 5.14, p < .001; and 17 vs. 11,5, p < .001, respectively). Overall fidelity was assessed as being very high [4.41 (3.5–5.0), α = .918] as well as face [4.31 (3.0–5.0), α = .867] and content validity [4.44 (3.2–5.0), α = .803]. Participants strongly agreed that the model is adequate to be used with the DaVinci® Robot [4.52 (3.5–5.0), α = .758]. Conclusion This study shows face, content, and construct validity of the model for inguinal TAPP simulation, including for robotic surgery. Therefore, the model can be a valuable tool for learning, understanding, practicing, and mastering the TAPP technique prior to participating in the operating room. Graphical abstract

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Section: Discussionmentioning

confidence: 99%

RAWS4all project: validation of a new silicone model for robotic TAPP inguinal hernia repair

Gonçalves,

Morales-Conde,

Gaspar Reis

et al. 2023

Surg Endosc

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“…Surgeons of all training grades have existing varied exposure to the use of the robotic platform in the workplace and therefore are not an entirely robot-naïve group of individuals. Moreover, medical students have previously served as a novice baseline in a study that validated the competency assessment of the CMR Versius trainer for surgical skills [ 5 ]. Exclusion criteria included those with prior education in setting up the CMR Versius robot, or those unable to use the IVR headset.…”

Section: Methodsmentioning

confidence: 99%

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot

Eley,

Palaniappan,

Carter

et al. 2024

J Robotic Surg

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Robotic surgery offers potential advantages over laparoscopic procedures, but the training for configuring robotic systems in the operating room remains underexplored. This study seeks to validate immersive virtual reality (IVR) headset training for setting up the CMR Versius in the operating room. This single-blinded randomized control trial randomised medical students with no prior robotic experience using an online randomiser. The intervention group received IVR headset training, and the control group, e-learning modules. Assessors were blinded to participant group. Primary endpoint was overall score (OS): Likert-scale 1–5: 1 reflecting independent performance, with increasing verbal prompts to a maximum score of 5, requiring physical assistance to complete the task. Secondary endpoints included task scores, time, inter-rater reliability, and concordance with participant confidence scores. Statistical analysis was performed using IBM SPSS Version 27. Of 23 participants analysed, 11 received IVR and 12 received e-learning. The median OS was lower in the IVR group than the e-learning group 53.5 vs 84.5 (p < 0.001). VR recipients performed tasks independently more frequently and required less physical assistance than e-learning participants (p < 0.001). There was no significant difference in time to completion (p = 0.880). Self-assessed confidence scores and assessor scores differed for e-learning participants (p = 0.008), though not IVR participants (p = 0.607). IVR learning is more effective than e-learning for preparing robot-naïve individuals in operating room set-up of the CMR Versius. It offers a feasible, realistic, and accessible option in resource-limited settings and changing dynamics of operating theatre teams. Ongoing deliberate practice, however, is still necessary for achieving optimal performance. ISCRTN Number 10064213.

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Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review

Liu,

Wu,

Sang

et al. 2024

Advanced Intelligent Systems

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Surgical robot systems (SRS) represent an innovative cross‐disciplinary research field using robotic technology to assist surgeons in operations. Current bottlenecks in SRS, such as the limited ability to process complex information and make surgical decisions, have not been effectively solved. Artificial intelligence (AI) is a valuable technique for simulating and extending human intelligence. AI offers a new direction and impetus for SRS by enhancing performance in areas such as perception, navigation, surgical planning, and control strategies. This review introduces the developmental history of AI‐aided SRS, summarizes the basic SRS architecture, and analyzes how AI can improve SRS performance. Classical cases of AI‐aided SRS, the impact of evidence in clinical settings, and associated ethical and legal considerations are explored. Finally, the challenges in AI‐aided SRS are discussed, including algorithm development, surgical data science, human–robot coordination, and trust building between humans and robots.

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Competency assessment for the Versius surgical robot: a validity investigation study of a virtual reality simulator-based test

Cited by 8 publications

References 16 publications

RAWS4all project: validation of a new silicone model for robotic TAPP inguinal hernia repair

RAWS4all project: validation of a new silicone model for robotic TAPP inguinal hernia repair

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot

Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review

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