A study identifying new ways to detect skin cancer using artificial intelligence (AI) has been conducted by researchers from the University of Hawaiʻi Cancer Center. Investigators successfully created and trained an AI platform to classify different types of skin lesions. Their findings were published in the December issue of Melanoma Research.
The study, “The Potential of Using Artificial Intelligence to Improve Skin Cancer Diagnoses in Hawaiʻi’s Multiethnic Population,” was conducted by UH Cancer Center Researchers Kevin Cassel and John Shepherd, and community health educator Mark Lee Willingham Jr., a sociology PhD student at UH Mānoa.