09/08/2023
Our new publication on skin cancer in surfers, swimmers and walkers/runners.
Congratulations to Ian Miller (PhD Candidate, Aquatic Based Research) and his colleagues Adj A/Professor Michael Stapelberg, Dr Nela Rosic, Adj A/Professor Jeremy Hudson, Dr Paul Coxin, A/Professor James Furness and Dr Joe Walsh on their new publication "Implementation of artificial intelligence for the detection of cutaneous melanoma within a primary care setting: prevalence and types of skin cancer in outdoor enthusiasts" in PeerJ.
This is an open access publication available at https://peerj.com/articles/15737/ #
This is the most extensive screening study on surfers, swimmers and walkers/runners ever conducted. Researchers conducted full body screenings for skin cancer that incorporated a high-resolution digital dermatoscope that included in-built artificial intelligence (deep learning convolutional neural networks). The researchers found, that compared to the general Australian population, surfers had the highest odds ratio (OR) for malignant melanoma (OR 119.😎, followed by walkers/runners (OR 79.74), and swimmers (OR 61.61). Rates of both keratinocyte carcinomas and melanoma were notably higher in aquatic and land-based enthusiasts compared to the general Australian population. These findings further highlight the clinical importance of sun-safe protection measures and regular skin screening in individuals who spend significant time outdoors
The research team wishes to acknowledge the generous funding support by Johnson & Johnson, who provided funding for the Moleanalyzer-Pro by Fotofinder.
https://peerj.com/articles/15737/ #
Background There is enthusiasm for implementing artificial intelligence (AI) to assist clinicians detect skin cancer. Performance metrics of AI from dermoscopic images have been promising, with studies documenting sensitivity and specificity values equal to or superior to specialists for the detecti...