Image-processing techniques in machine learning (ML) for skin cancer detection using clinical images.

The researchers suggest that these advanced, pretrained machine learning models could expand the reach of machine learning-based cancer diagnosis to resource-limited settings.

Researchers are using machine-learning to build tools in the realm of cancer detection and diagnosing, potentially catching tumors or lesions that doctors could miss.

Despite advances in artificial intelligence and machine learning, such technologies have not been optimized by dermatologists and other professionals for skin cancer detection, according to a ...

Devices that use artificial intelligence to evaluate skin lesions are beginning to emerge, but AI has some hurdles to overcome before it's widely accepted in dermatology.

Mount Sinai's Waldman Melanoma and Skin Cancer Center uses relatively new screening technology to detect and monitor spots.

Skin cancer detection using artificial intelligence (AI) software has rapidly improved, new research has shown, with the latest software reaching a 100% detection rate for melanoma.

Skin cancer detection using artificial intelligence (AI) software has rapidly improved, new research has shown, with the latest software reaching a 100% detection rate for melanoma.1 The study ...

New research presented Wednesday at a medical conference in Berlin shows that AI technology now has a 100% detection rate for melanoma, the most serious form of skin cancer. Photo by cottonbro ...

British tech company Skin Analytics has received regulatory approval for an AI skin cancer detection system that uses a smartphone. Spotting skin cancer in the early stages leads to very high ...