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Multimodal learning for automated robotic surgical skill assessment: integrating video and kinematic data with ensemble model.

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Title: Multimodal learning for automated robotic surgical skill assessment: integrating video and kinematic data with ensemble model.
Authors: Chen K; School of Information Engineering, Wenzhou Business College, Wenzhou, China.; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; School of Computer Science, University of Nottingham, Nottingham, UK., Zhang Y; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; School of Computer Science, University of Nottingham, Nottingham, UK., Weng Y; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; School of Computer Science, University of Nottingham, Nottingham, UK., Wang B; Ningbo No.2 Hospital, Ningbo, China., Liu Z; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; Ningbo Jinji Strong Magnetic Material Co., Ltd, Ningbo, China.
Source: International journal of surgery (London, England) [Int J Surg] 2025 Dec 16. Date of Electronic Publication: 2025 Dec 16.
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Health, Inc Country of Publication: United States NLM ID: 101228232 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1743-9159 (Electronic) Linking ISSN: 17439159 NLM ISO Abbreviation: Int J Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Chen+K%22">Chen K</searchLink>; School of Information Engineering, Wenzhou Business College, Wenzhou, China.; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; School of Computer Science, University of Nottingham, Nottingham, UK.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; School of Computer Science, University of Nottingham, Nottingham, UK.<br /><searchLink fieldCode="AU" term="%22Weng+Y%22">Weng Y</searchLink>; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; School of Computer Science, University of Nottingham, Nottingham, UK.<br /><searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; Ningbo No.2 Hospital, Ningbo, China.<br /><searchLink fieldCode="AU" term="%22Liu+Z%22">Liu Z</searchLink>; School of Computer Science, University of Nottingham Ningbo China, Ningbo, China.; Ningbo Jinji Strong Magnetic Material Co., Ltd, Ningbo, China.
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  Data: <searchLink fieldCode="JN" term="%22101228232%22">International journal of surgery (London, England)</searchLink> [Int J Surg] 2025 Dec 16. <i>Date of Electronic Publication: </i>2025 Dec 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wolters+Kluwer+Health%2C+Inc%22">Wolters Kluwer Health, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101228232 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1743-9159 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217439159%22">17439159 </searchLink><i>NLM ISO Abbreviation: </i>Int J Surg <i>Subsets: </i>MEDLINE
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        Value: 10.1097/JS9.0000000000004471
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        Text: English
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      – TitleFull: Multimodal learning for automated robotic surgical skill assessment: integrating video and kinematic data with ensemble model.
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              Text: 2025 Dec 16
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              Y: 2025
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