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 ...

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 ...

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 ...

A future where artificial intelligence will guide skin cancer detection is in sight, experts say, even as human care remains essential. “The whole ecosystem has really matured and we are now past the ...

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