Melanoma imaging and diagnosis: What does the future hold?

Journal: Australian journal of general practice
PMID: 39226596

Abstract

BACKGROUND: In Australia, artificial intelligence (AI) is increasingly being used in the field of melanoma diagnosis. Early diagnosis is arguably the most important prognostic factor for melanoma survival. The use of digital monitoring of naevi, especially dysplastic naevi, might reduce the number of biopsies needed in managing patients at risk of melanoma, especially in patients with high naevi counts.

Authors

  • Lena von Schuckmann
    BSc, MBBS, MPH, PhD, FRACGP, FACD, Senior Clinical Lecturer, Frazer Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Qld; Senior Medical Officer, Dermatology Department, Princess Alexandra Hospital, Brisbane, Qld; Senior Medical Officer, Dermatology Department, Sunshine Coast University Hospital, Sunshine Coast, Qld; Private Practice, Spring Hill, Brisbane and Samford Valley, Moreton Bay, Qld.
  • Leith Banney
    MBBS, FACD, Dermatology Consultant, Sunshine Coast University Hospital, Birtinya, Qld.
  • H Peter Soyer
    Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Australia.

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