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Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study.

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Title: Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study.
Authors: Frassini E; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands., Vijfvinkel TS; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.; Reinier de Graaf Hospital, Delft, The Netherlands., Butler RM; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands., van der Elst M; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.; Reinier de Graaf Hospital, Delft, The Netherlands., Hendriks BHW; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.; Medical Systems, Philips Medical Systems, Best, The Netherlands., van den Dobbelsteen JJ; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.
Source: Computer assisted surgery (Abingdon, England) [Comput Assist Surg (Abingdon)] 2025 Dec; Vol. 30 (1), pp. 2466426. Date of Electronic Publication: 2025 Feb 24.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 101681550 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2469-9322 (Electronic) Linking ISSN: 24699322 NLM ISO Abbreviation: Comput Assist Surg (Abingdon) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Frassini+E%22">Frassini E</searchLink>; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Vijfvinkel+TS%22">Vijfvinkel TS</searchLink>; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.; Reinier de Graaf Hospital, Delft, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Butler+RM%22">Butler RM</searchLink>; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+der+Elst+M%22">van der Elst M</searchLink>; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.; Reinier de Graaf Hospital, Delft, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Hendriks+BHW%22">Hendriks BHW</searchLink>; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.; Medical Systems, Philips Medical Systems, Best, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+den+Dobbelsteen+JJ%22">van den Dobbelsteen JJ</searchLink>; Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands.
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  Data: <searchLink fieldCode="JN" term="%22101681550%22">Computer assisted surgery (Abingdon, England)</searchLink> [Comput Assist Surg (Abingdon)] 2025 Dec; Vol. 30 (1), pp. 2466426. <i>Date of Electronic Publication: </i>2025 Feb 24.
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        Value: 10.1080/24699322.2025.2466426
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              Text: 2025 Dec
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