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 ...

Machine learning is extending the reach of medical science, allowing it to see further and relieve some of the burden from time-pressured healthcare professionals. Researchers are now exploring its ...

The study, presented today at the European Academy of Dermatology and Venereology (EADV) Congress 2023, assessed 22,356 patients with suspected skin cancers over a 2.5-year period. 1 As well as a 100% ...

The ability to detect skin cancer using artificial intelligence (AI) software has rapidly improved. New research presented Wednesday at a medical conference in Berlin shows that this AI technology now ...

According to the American Cancer Society, more than 100,000 people will be diagnosed with melanoma this year. The good news is now that treatments have advanced, death rates have declined. Diagnostic ...

Tulsa, Okla. — The University of Tulsa's Hurricane Venture initiative kicks off supporting one of its first TU student startups, SkinCheck. The University of Tulsa's Center for Innovation and ...

Credit: DermaSensor. The device assists primary care providers in assessing skin lesions suggestive of melanoma, basal cell carcinoma, and/or squamous cell carcinoma in patients aged 40 years and ...

Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...