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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3558) Clinical Informatics (2181) Machine Learning (3089) Artificial Intelligence (4604)

Published on in Vol 28 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93950, first published .
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Mapping Machine Learning–Driven Cybersecurity Solutions in Health Care: Scoping Literature Review

Mapping Machine Learning–Driven Cybersecurity Solutions in Health Care: Scoping Literature Review

Authors of this article:

Kunal Rajput1 Author Orcid Image ;   Sharukh Zuberi2 Author Orcid Image ;   Mireille Elhajj3, 4, 5 Author Orcid Image ;   Washington Ochieng3, 5 Author Orcid Image ;   Ara Darzi1 Author Orcid Image ;   Saira Ghafur1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Kunal Rajput   1 , MBChB ;   Sharukh Zuberi   2 , MBBS, BSc ;   Mireille Elhajj   3, 4, 5 , PhD ;   Washington Ochieng   3, 5 , BSc, MSc, PhD ;   Ara Darzi   1 , MBChB, MD ;   Saira Ghafur   1 , MBChB, MSc

1 Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, England, United Kingdom

2 Department of Surgery, The Royal Free Hospital, London, England, United Kingdom

3 Department of Civil and Environmental Engineering, Faculty of Engineering, Imperial College London, London, England, United Kingdom

4 Astra-Terra Limited, London, England, United Kingdom

5 Centre for Active Resilience and Security, Imperial College London, London, England, United Kingdom

Corresponding Author:

  • Kunal Rajput, MBChB
  • Department of Surgery and Cancer
  • Faculty of Medicine, Imperial College London
  • Faculty Building, South Kensington Campus
  • London, England SW7 2AZ
  • United Kingdom
  • Phone: 44 02075895111
  • Email: k.rajput24@imperial.ac.uk