Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23483, first published .
Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review

Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review

Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review

Owain T Jones   1 , MPhil ;   Natalia Calanzani   1 , PhD ;   Smiji Saji   1 , MBBCHIR ;   Stephen W Duffy   2 , MSc ;   Jon Emery   3 , DPhil ;   Willie Hamilton   4 , MD ;   Hardeep Singh   5 , MD, MPH ;   Niek J de Wit   6 , MD ;   Fiona M Walter   1 , MD

1 Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom

2 Wolfson Institute for Preventive Medicine, Queen Mary University of London, London, United Kingdom

3 Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia

4 College of Medicine and Health, University of Exeter, Exeter, United Kingdom

5 Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX, United States

6 Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, Netherlands

Corresponding Author:

  • Owain T Jones, MPhil
  • Primary Care Unit
  • Department of Public Health & Primary Care
  • University of Cambridge
  • 2 Wort's Causeway
  • Cambridge, CB1 8RN
  • United Kingdom
  • Phone: 44 1223762554
  • Email: otj24@medschl.cam.ac.uk