Accessibility settings

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

Scoping Review Protocols (584) Health Care Quality and Health Services Research (563) Machine Learning (3350) Computer-Aided Diagnosis (445) Cardiac Diagnostics (65) Ethical, Legal, and Social Issues in AI (222) Responsible Health AI (268) AI Governance and Policy (81)

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 .
Nurse shows elderly patient EKG results on a tablet.

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 (1) Tweetations Metrics

Journals

  1. El-Medany A, Birdi A, Abraham A, Pandey T, Sau A, Khan S, Ng F. From wrist to heart: clinical validation and real-world translation of wearable and portable AI-enhanced electrocardiography. European Heart Journal - Digital Health 2026;7(8) View