In a recent review published in the Life Journal, a group of authors reviewed image-processing techniques in machine learning (ML) for skin cancer detection using clinical images, evaluating their ...

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 ...

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 study.

US-based DermaSensor has announced a newly published study showing that its AI-powered device can improve a primary care physician’s ability to assess moles of concern. In the prospective study, ...

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 ...

LUGANO, 30 September, 2021 – A new study has found that a direct-to-consumer machine learning model for detecting skin cancers incorrectly classified rare and aggressive cancers as low-risk. 1 The ...

New biomarkers to improve skin cancer detection and avoid delays in treatment are being developed by researchers at the University of South Australia. Every 30 minutes, an Australian is diagnosed with ...

LaToya Smith was 29 years old when she died from skin cancer. The young doctor had gotten her degree in podiatry from Rosalind Franklin University, in Chicago, just four years prior, and had recently ...