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

Digital Health Reviews (1331) Artificial Intelligence (1430) e-Learning and Digital Medical Education (706) Chatbots and Conversational Agents (550) Generative Language Models Including ChatGPT (330) Machine Learning (1505)

Published on in Vol 26 (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/56532, first published .
The Accuracy and Capability of Artificial Intelligence Solutions in Health Care Examinations and Certificates: Systematic Review and Meta-Analysis

The Accuracy and Capability of Artificial Intelligence Solutions in Health Care Examinations and Certificates: Systematic Review and Meta-Analysis

The Accuracy and Capability of Artificial Intelligence Solutions in Health Care Examinations and Certificates: Systematic Review and Meta-Analysis

Authors of this article:

William J Waldock1 Author Orcid Image ;   Joe Zhang1 Author Orcid Image ;   Ahmad Guni1 Author Orcid Image ;   Ahmad Nabeel2 Author Orcid Image ;   Ara Darzi1 Author Orcid Image ;   Hutan Ashrafian2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

William J Waldock   1 , MBA, MBBCHIR ;   Joe Zhang   1 , MBBS, PhD ;   Ahmad Guni   1 , MBBS ;   Ahmad Nabeel   2 , MBBS ;   Ara Darzi   1 , MBBS ;   Hutan Ashrafian   2 , BSc, MBBS, MBA, PhD

1 Imperial College London, London, United Kingdom

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

Corresponding Author:

  • Hutan Ashrafian, BSc, MBBS, MBA, PhD
  • Institute of Global Health Innovation
  • Imperial College London
  • 10th Floor, Queen Elizabeth Queen Mother Building, Praed Street
  • London
  • United Kingdom
  • Phone: 44 07799871597
  • Email: h.ashrafian@imperial.ac.uk