Advances in melanoma imaging and early diagnosis
September 11, 2024
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.
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.
Source:
von Schuckmann L, Banney L, Soyer HP. Melanoma imaging and diagnosis: What does the future hold? Aust J Gen Pract. 2024 Sep;53(9):633-634. doi: 10.31128/AJGP-02-24-7156. PMID: 39226596.