Development, external validation and integration into clinical workflow of machine learning models to support pre-operative assessment in the UK

Kotzé, A., Lawton, T., Howell, S.J. orcid.org/0000-0001-8467-1466 et al. (5 more authors) (2025) Development, external validation and integration into clinical workflow of machine learning models to support pre-operative assessment in the UK. Anaesthesia: Peri-operative medicine, critical care and pain. ISSN: 0003-2409

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Item Type: Article
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© 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: electronic health records; machine learning; pre-operative care; risk assessment
Dates:
  • Accepted: 19 July 2025
  • Published (online): 14 September 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Date Deposited: 30 Sep 2025 14:15
Last Modified: 30 Sep 2025 14:15
Status: Published online
Publisher: Wiley
Identification Number: 10.1111/anae.16777
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Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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