Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most ...

The model achieved 89% accuracy in identifying individuals with skin cancer across all populations, with 90% accuracy for individuals of European ancestry and 81% accuracy for people of non-European ...

"Skin cancer, particularly melanoma, is a disease in which early detection is critically important for determining survival rates," says Prof. Jeon. "Since melanoma is difficult to diagnose based ...

Emerging diagnostic technology that uses artificial intelligence (AI) has demonstrated the potential to free dermatologists from the burden of triaging skin lesions, but dermatology lags behind some ...

Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...

The tool could make it easier for clinicians to rule out melanoma without the need for excision. A new dual-modal, non-invasive detection technique could make it easier—and faster—to differentiate ...

The innovative “fragmentomics” approach could one day allow doctors to identify cancer in patients sooner than possible today using smaller blood draws LOS ANGELES--(BUSINESS WIRE)--Researchers at ...

PITTSBURGH — A machine inside a local hospital uses artificial intelligence to detect skin cancer. It has 92 cameras. One patient we spoke with said that at first, she was hesitant. But now she’s ...