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dc.contributor.authorSinha, Ankit
dc.contributor.authorWest, Alexander
dc.contributor.authorVasdev, Nikhil
dc.contributor.authorSooriakumaran, Prasanna
dc.contributor.authorRane, Abhay
dc.contributor.authorDasgupta, Prokar
dc.contributor.authorMcKirdy, Michael
dc.date.accessioned2023-08-04T15:30:01Z
dc.date.available2023-08-04T15:30:01Z
dc.date.issued2023-03-15
dc.identifier.citationSinha , A , West , A , Vasdev , N , Sooriakumaran , P , Rane , A , Dasgupta , P & McKirdy , M 2023 , ' Current Practices and the Future of Robotic Surgical Training ' , The Surgeon . https://doi.org/10.1016/j.surge.2023.02.006
dc.identifier.issn1479-666X
dc.identifier.urihttp://hdl.handle.net/2299/26569
dc.description© 2023 Royal College of Surgeons of Edinburgh and Royal College of Surgeons in Ireland. Published by Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.surge.2023.02.006
dc.description.abstractIntroduction: This study reviews the current state of robotic surgery training for surgeons, including the various curricula, training methods, and tools available, as well as the challenges and limitations of these. Methods: The authors carried out a literature search across PubMed, MEDLINE, and Google Scholar using keywords related to ‘robotic surgery’, ‘computer-assisted surgery’, ‘simulation’, ‘virtual reality’, ‘surgical training’, and ‘surgical education’. Full text analysis was performed on 112 articles. Training Programmes: The training program for robotic surgery should focus on proficiency, deliberation, and distribution principles. The curricula can be broadly split up into pre-console and console-side training. Pre-Console and Console-Side Training: Simulation training is an important aspect of robotic surgery training to improve technical skill acquisition and reduce mental workload, which helps prepare trainees for live procedures. Operative Performance Assessment: The study also discusses the various validated assessment tools used for operative performance assessments. Future Advances: Finally, the authors propose potential future directions for robotic surgery training, including the use of emerging technologies such as AI and machine learning for real-time feedback, remote mentoring, and augmented reality platforms like Proximie to reduce costs and overcome geographic limitations. Conclusion: Standardisation in trainee performance assessment is needed. Each of the robotic curricula and platforms has strengths and weaknesses. The ERUS Robotic Curriculum represents an evidence-based example of how to implement training from novice to expert. Remote mentoring and augmented reality platforms can overcome the challenges of high equipment costs and limited access to experts. Emerging technologies offer promising advancements for real-time feedback and immersive training environments, improving patient outcomes.en
dc.format.extent9
dc.format.extent238623
dc.language.isoeng
dc.relation.ispartofThe Surgeon
dc.titleCurrent Practices and the Future of Robotic Surgical Trainingen
dc.contributor.institutionCentre for Health Services and Clinical Research
dc.contributor.institutionBasic and Clinical Science Unit
dc.contributor.institutionExtracellular Vesicle Research Unit
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionDepartment of Clinical, Pharmaceutical and Biological Science
dc.description.statusPeer reviewed
dc.date.embargoedUntil2024-03-15
rioxxterms.versionofrecord10.1016/j.surge.2023.02.006
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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