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

Journal: Journal of medical Internet research
Published Date: Mar 3, 2021

Abstract

BACKGROUND: More than 17 million people worldwide, including 360,000 people in the United Kingdom, were diagnosed with cancer in 2018. Cancer prognosis and disease burden are highly dependent on the disease stage at diagnosis. Most people diagnosed with cancer first present in primary care settings, where improved assessment of the (often vague) presenting symptoms of cancer could lead to earlier detection and improved outcomes for patients. There is accumulating evidence that artificial intelligence (AI) can assist clinicians in making better clinical decisions in some areas of health care.

Authors

  • Owain T Jones
    Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom.
  • Natalia Calanzani
    Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom.
  • Smiji Saji
    Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom.
  • Stephen W Duffy
    Wolfson Institute for Preventive Medicine, Queen Mary University of London, London, United Kingdom.
  • Jon Emery
    Centre for Cancer Research and Department of General Practice, The University of Melbourne, Melbourne, Vic., Australia.
  • Willie Hamilton
    College of Medicine and Health, University of Exeter, Exeter, United Kingdom.
  • Hardeep Singh
    a Toronto Rehabilitation Institute-University Health Network , Toronto , ON , Canada.
  • Niek J de Wit
    Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, Netherlands.
  • Fiona M Walter
    Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom.

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