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

Viewpoints and Perspectives (627) Clinical Informatics (1405) E-Health Policy and Health Systems Innovation (358) Clinical Information and Decision Making (2031) Artificial Intelligence (2286) Equity and Digital Divide (405)

Published on in Vol 28 (2026)

This is a member publication of University of Manchester (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88396, first published .
AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence

AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence

AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence

Authors of this article:

Aymn Alamoudi1, 2 Author Orcid Image ;   Evangelos Kontopantelis3, 4 Author Orcid Image ;   Salwa S Zghebi1 Author Orcid Image ;   Benjamin Brown1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Aymn Alamoudi   1, 2 , MSc ;   Evangelos Kontopantelis   3, 4 , PhD ;   Salwa S Zghebi   1 , PhD ;   Benjamin Brown   1 , PhD

1 Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, England, United Kingdom

2 Department of Public Health, School of Nursing and Health Sciences, Jazan University, Jazan, Jazan Region, Saudi Arabia

3 Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, England, United Kingdom

4 Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

Corresponding Author:

  • Aymn Alamoudi, MSc
  • Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health
  • University of Manchester
  • Williamson Building, 5th Floor
  • Oxford Road
  • Manchester, England M13 9PL
  • United Kingdom
  • Phone: 44 161 306 6000
  • Email: aymn.alamoudi@postgrad.manchester.ac.uk