instead of going to a primary care provider and getting a referral to a specialist, which can take half a year, the getskinhelp app allows users to utilize the ai technology implemented through years of research to get their skin care concerns looked at now.
all people have to do is take a photo of the mole, spot, or other area, and they will be triaged accordingly using ai technology. once the image is submitted to the app, neural-network-based technology can examine it using several data points to determine whether it requires immediate attention from a provider or if it’s a less severe condition that poses no concern.
a second feature looks for visual cues of malicious moles, such as asymmetry, irregular borders, colour, and diameter—the abcd method. it can accurately diagnose eight conditions, including melanoma, basal cell carcinoma, and benign growths, with an accuracy of 88 per cent.
once a person’s mole is deemed more dangerous and they need to see a specialist, the app will help them set up either an in-person or virtual appointment, giving people the accessibility they need in a backed-up healthcare system.
“unfortunately, when early-stage cancers are missed, it’s often too late for patients, and it also places a larger burden of care on the healthcare system. our goal is to make sure that people who need a doctor get in front of the doctor,” said skinopathy data scientist mahla abdolahnejad, one of six interns recruited by skinopathy through mitacs, in a press release.