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New AI-Powered Handheld Device Achieves 94% Accuracy in Rapid Skin Cancer Diagnosis
A groundbreaking AI tool developed by the University of Melbourne is transforming skin cancer diagnosis by integrating thermal multimodal imaging into a handheld device. This innovation enables near real-time identification of abnormal skin lesions with an impressive 94% accuracy, demonstrated in clinical pilots.
Skin cancer affects two in three Australians by age 70 and accounts for 80% of new cancer cases annually, making timely and precise diagnosis critical. Current diagnosis methods rely on visual inspections and biopsies, which are costly and prone to errors; over 600,000 unnecessary biopsies were conducted in Australia in 2024 alone, costing more than A$400 million.
This AI device reduces diagnostic errors, works effectively across all skin tones, and speeds up the process, potentially revolutionizing clinical practice. As it undergoes real-world validation with MoleMap Australia, this technology could reshape how skin cancer is detected and managed globally.
