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

Digital Health Reviews (1329) Artificial Intelligence (1427) Machine Learning (1504) Imaging Informatics (202) Decision Support for Health Professionals (1211) Colon and Rectal Cancer (22)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27370, first published .
Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis

Authors of this article:

Scarlet Nazarian1 Author Orcid Image ;   Ben Glover1 Author Orcid Image ;   Hutan Ashrafian1 Author Orcid Image ;   Ara Darzi1 Author Orcid Image ;   Julian Teare1 Author Orcid Image
Article Authors Cited by (46) Tweetations (10) Metrics

Scarlet Nazarian   1 * , BSc, MBBS, MRCS ;   Ben Glover   1 * , MBBS, MRCP ;   Hutan Ashrafian   1 * , PhD ;   Ara Darzi   1 * , PhD ;   Julian Teare   1 * , PhD

1 Department of Surgery and Cancer, Imperial College London, London, United Kingdom

*all authors contributed equally

Corresponding Author:

  • Hutan Ashrafian, PhD
  • Department of Surgery and Cancer
  • Imperial College London
  • 10th Floor, QEQM Building, St Mary’s Hospital
  • Praed Street
  • London, W2 1NY
  • United Kingdom
  • Phone: 44 2075895111
  • Email: h.ashrafian@imperial.ac.uk