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

Development of Instruments and Surveys (86) Research Instruments, Questionnaires, and Tools (591) Artificial Intelligence (1435) Artificial Intelligence (99) Computer-Aided Diagnosis (137)

Published on in Vol 13 (2024)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58202, first published .
Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study

Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study

Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study

Authors of this article:

Ahmad Guni1 Author Orcid Image ;   Viknesh Sounderajah1 Author Orcid Image ;   Penny Whiting2 Author Orcid Image ;   Patrick Bossuyt3 Author Orcid Image ;   Ara Darzi1 Author Orcid Image ;   Hutan Ashrafian1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Ahmad Guni   1 * , BSc, MBBS ;   Viknesh Sounderajah   1 * , BSc, MSc, MBBS ;   Penny Whiting   2 , BA, MSc, PhD ;   Patrick Bossuyt   3 , MSc, PhD ;   Ara Darzi   1 , MD, PhD ;   Hutan Ashrafian   1 , BSc, MBA, MBBS, PhD

1 Institute of Global Health Innovation, Imperial College London, London, United Kingdom

2 Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom

3 Department of Epidemiology & Data Science, Amsterdam University Medical Centres, Amsterdam, Netherlands

*these authors contributed equally

Corresponding Author:

  • Hutan Ashrafian, BSc, MBA, MBBS, PhD
  • Institute of Global Health Innovation
  • Imperial College London
  • 10th Floor QEQM Building, St Mary’s Hospital
  • Praed St
  • London, W2 1NY
  • United Kingdom
  • Phone: 44 2075895111
  • Email: h.ashrafian@imperial.ac.uk