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Deep learning for Evaluation and Prediction of TecHnical Skills in robotic-assisted vaginal cuff closure study.

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Title: Deep learning for Evaluation and Prediction of TecHnical Skills in robotic-assisted vaginal cuff closure study.
Authors: Tesfai F; Institute for Women's Health, University College London, London, England; The Griffin Institute, Harrow, England., Xu J; Department of Medical Physics and Biomedical Engineering, University College London, London, England., Anastasiou D; Department of Medical Physics and Biomedical Engineering, University College London, London, England., He R; Department of Medical Physics and Biomedical Engineering, University College London, London, England., Boal M; The Griffin Institute, Harrow, England; Division of Surgery and Interventional Science, XXX, University College London, London, England., Aranan Y; Department of General Surgery, The Royal London Hospital, Barts Health NHS Trust, London, England., Lingam G; Institute for Women's Health, University College London, London, England., Shah D; University College London Medical School, London, England., Stoyanov D; Department of Medical Physics and Biomedical Engineering, University College London, London, England., Chandrasekaran D; University College London Hospitals NHS Foundation Trust., Mazomenos E; Department of Medical Physics and Biomedical Engineering, University College London, London, England., Francis N; The Griffin Institute, Harrow, England; Division of Surgery and Interventional Science, XXX, University College London, London, England. Electronic address: n.francis@griffininstitute.org.uk.
Source: American journal of obstetrics and gynecology [Am J Obstet Gynecol] 2026 Aug; Vol. 235 (2), pp. 458-467. Date of Electronic Publication: 2026 Mar 19.
Publication Type: Journal Article; Multicenter Study; Observational Study
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0370476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6868 (Electronic) Linking ISSN: 00029378 NLM ISO Abbreviation: Am J Obstet Gynecol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning for Evaluation and Prediction of TecHnical Skills in robotic-assisted vaginal cuff closure study.
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  Data: <searchLink fieldCode="AU" term="%22Tesfai+F%22">Tesfai F</searchLink>; Institute for Women's Health, University College London, London, England; The Griffin Institute, Harrow, England.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Department of Medical Physics and Biomedical Engineering, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22Anastasiou+D%22">Anastasiou D</searchLink>; Department of Medical Physics and Biomedical Engineering, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22He+R%22">He R</searchLink>; Department of Medical Physics and Biomedical Engineering, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22Boal+M%22">Boal M</searchLink>; The Griffin Institute, Harrow, England; Division of Surgery and Interventional Science, XXX, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22Aranan+Y%22">Aranan Y</searchLink>; Department of General Surgery, The Royal London Hospital, Barts Health NHS Trust, London, England.<br /><searchLink fieldCode="AU" term="%22Lingam+G%22">Lingam G</searchLink>; Institute for Women's Health, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22Shah+D%22">Shah D</searchLink>; University College London Medical School, London, England.<br /><searchLink fieldCode="AU" term="%22Stoyanov+D%22">Stoyanov D</searchLink>; Department of Medical Physics and Biomedical Engineering, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22Chandrasekaran+D%22">Chandrasekaran D</searchLink>; University College London Hospitals NHS Foundation Trust.<br /><searchLink fieldCode="AU" term="%22Mazomenos+E%22">Mazomenos E</searchLink>; Department of Medical Physics and Biomedical Engineering, University College London, London, England.<br /><searchLink fieldCode="AU" term="%22Francis+N%22">Francis N</searchLink>; The Griffin Institute, Harrow, England; Division of Surgery and Interventional Science, XXX, University College London, London, England. Electronic address: n.francis@griffininstitute.org.uk.
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  Data: <searchLink fieldCode="JN" term="%220370476%22">American journal of obstetrics and gynecology</searchLink> [Am J Obstet Gynecol] 2026 Aug; Vol. 235 (2), pp. 458-467. <i>Date of Electronic Publication: </i>2026 Mar 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0370476 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-6868 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029378%22">00029378 </searchLink><i>NLM ISO Abbreviation: </i>Am J Obstet Gynecol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.ajog.2026.03.015
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              Text: 2026 Aug
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