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 ...

Scientists developed a way of using artificial intelligence to check for skin cancer with the AI tool, which was trained on data from 53,601 skin lesions from 25,105 patients, outperforming existing ...

The dual-modal technique combining OCT and Raman spectroscopy achieved 96.9% accuracy in differentiating melanoma from benign lesions. Early melanoma diagnosis is critical, with a 99% 5-year survival ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

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 ...

Skin cancer remains the most common form of cancer worldwide, often presenting as benign skin conditions that are difficult to differentiate, even for experienced dermatologists. Misdiagnosis can lead ...

Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend on much more than just sun exposure. A new study building off the NIH’s All ...

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 ...

The implementation of a modified Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) risk-based surveillance program, which included primary care, dermatology, and ...