Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial.

Journal: The British journal of dermatology
Published Date:

Abstract

BACKGROUND: Use of artificial intelligence (AI), or machine learning, to assess dermoscopic images of skin lesions to detect melanoma has, in several retrospective studies, shown high levels of diagnostic accuracy on par with - or even outperforming - experienced dermatologists. However, the enthusiasm around these algorithms has not yet been matched by prospective clinical trials performed in authentic clinical settings. In several European countries, including Sweden, the initial clinical assessment of suspected skin cancer is principally conducted in the primary healthcare setting by primary care physicians, with or without access to teledermoscopic support from dermatology clinics.

Authors

  • Panagiotis Papachristou
    Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
  • My Söderholm
    Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Jon Pallon
    Department of Clinical Sciences in Malmö, Family Medicine, Lund University, Malmö, Sweden.
  • Marina Taloyan
    Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
  • Sam Polesie
  • John Paoli
  • Chris D Anderson
    Department of Biomedical and Clinical Sciences, Division of Dermatology and Venereology, Linköping University, Linköping, Sweden.
  • Magnus Falk
    Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.