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Melanoma imaging and diagnosis: What does the future hold?
Lena von Schuckmann1, Leith Banney2, H Peter Soyer3
1BSc, 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.
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.
Objective:
This article discusses advances in imaging and early diagnosis including the use of AI in this process.
Discussion:
The benefits of performing biopsies must be balanced with the potential to cause harm. Whole-body imaging can assist with more accurate detection of changing lesions and enable clinicians to focus on lesions where change is detected.
