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

Scoping Review Protocols (260) Responsible Health AI (61) Ethical, Legal, and Social Issues in AI (110) Computer-Aided Diagnosis (263) Cardiac Diagnostics (32) Machine Learning (2137) AI Governance and Policy (21) Health Care Quality and Health Services Research (344)

Published on in Vol 15 (2026)

This is a member publication of Bodleian Libraries (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82486, first published .
Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Authors of this article:

Luqman Lawal1, 2 Author Orcid Image ;   Christopher Paton1, 3 Author Orcid Image ;   Mike English1 Author Orcid Image ;   Bruno Holthof1 Author Orcid Image ;   Tabitha Preston1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Luqman Lawal   1, 2 , MD, MPH, MBA ;   Christopher Paton   1, 3 , BMBS, PhD, MBA ;   Mike English   1 , MBChB ;   Bruno Holthof   1 , MD, PhD, MBA ;   Tabitha Preston   1

1 Nuffield Department of Medicine, University of Oxford, Oxford, England, United Kingdom

2 Mayo Clinic, Rochester, MN, United States

3 Liggins Institute and School of Population Health, University of Auckland, Auckland, New Zealand

Corresponding Author:

  • Luqman Lawal, MD, MPH, MBA
  • Nuffield Department of Medicine
  • University of Oxford
  • Wellington Square
  • Oxford, England OX1 2JD
  • United Kingdom
  • Phone: 1 6513075288
  • Email: luqman.lawal@ndm.ox.ac.uk