New AI System Automates Classification of Skin Lesions
4 Articles
4 Articles
AI tool designed and integrated into hospital workflows to classify skin lesions
Skin cancer is a global health challenge, with nearly 1.5 million new cases diagnosed in 2024, according to World Health Organization (WHO) data. In response, the University of Alicante (UA) and the Sant Joan d'Alacant University Hospital have collaborated to launch MEL-IA (MobilE skin Lesion dIAgnosis), an artificial intelligence system designed to automate the classification of skin lesions.
New AI system automates classification of skin lesions
Skin cancer is a global health challenge, with nearly 1.5 million new cases diagnosed in 2024 according to World Health Organization (WHO) data. In response, the University of Alicante (UA) and the Sant Joan d'Alacant University Hospital have collaborated to launch MEL-IA (MobilE skin Lesion dIAgnosis), an artificial intelligence system designed to automate the classification of skin lesions.
Physicists' Reaction-Diffusion Equations Inspire Sharper AI for Skin
A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images of melanoma and benign nevi with 94.35 percent accuracy while offering explainable visual justifications for its decisions.
Skin cancer is a global health problem with almost 1.5 million new cases in 2024, according to data from the World Health Organization (WHO). In this context, the University of Alicante (UA) and the University Hospital Sant Joan d’Alacant have collaborated to launch MEL-IA (MobilE skin Lesion dIAgnosis), an artificial intelligence system designed to automate the classification of skin lesions.
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