Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.

Journal: JAMA network open
Published Date: Oct 2, 2019

Abstract

IMPORTANCE: A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and pathology services.

Authors

  • Michael Phillips
    Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia.
  • Helen Marsden
    Skin Analytics Ltd., London, United Kingdom.
  • Wayne Jaffe
    Royal Stoke University Hospital, University Hospital North Midlands, Stoke, United Kingdom.
  • Rubeta N Matin
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Gorav N Wali
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Jack Greenhalgh
    Skin Analytics Limited, London, United Kingdom.
  • Emily McGrath
    Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom.
  • Rob James
    Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom.
  • Evmorfia Ladoyanni
    Dudley Group NHS Foundation Trust, Corbett Hospital, Stourbridge, United Kingdom.
  • Anthony Bewley
    Barts Health, London, United Kingdom.
  • Giuseppe Argenziano
    Dermatology Unit, University of Campania, Naples, Italy.
  • Ioulios Palamaras
    Barnet and Chase Farm Hospitals, Royal Free NHS Foundation Trust, London, United Kingdom.

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