"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 ...
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 ...
Hosted on MSN
AI tool makes detection of skin cancer more accurate
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 ...
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 ...
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 ...
Researchers have developed a revolutionary biosensor using terahertz (THz) waves that can detect skin cancer with exceptional sensitivity, potentially paving the way for earlier and easier diagnoses.
Wake Forest University researchers testing device to help with early skin cancer detection ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results