SkinVision is an iOS and Android app that lets users assess and track skin spots for changes over time. It works by asking users to snap a photo of concerning spots on their skin using their smartphone camera. Within 30 seconds of submitting this photo for review, an artificial intelligence algorithm then delivers a risk assessment: Either low, low with symptoms, or high. It does this by looking for telltale signs of skin cancer in spots, such as irregular patterns, multiple colors, asymmetry, size, and uneven borders. In the event that the app raises concerns, users can then visit a medical professional to get advice on what to do next.
In a recent study published in the Journal of the European Academy of Dermatology and Venereology, investigators tested the app’s claims that it can play a crucial role in early skin cancer detection. They concluded that it is around 95.1% sensitive in its ability to identify the most common forms of skin cancer.
#skinvision This A.I.-Powered App Can Spot Skin Cancer With 95 Percent Accuracy | Digital Trends
SkinVision's skin cancer-detecting app lets users snap a quick photo of a potentially troubling spot and then uses artificial intelligence to determine its risk factor. But how well does it work? According to a recent study, it's more than 95% accurate in its assessments.