“There’s a huge problem in getting AI data for medicine. The main hurdle right now is getting the data needed to help Doctor Hazel predict skin cancer with at least a 90 percent accuracy. The platform currently pulls from 8,000 variables to determine four different outcomes: nothing, a mole, melanoma or some other type of cancer.Įventually the startup will have an app and possibly come with an image capture device the team can sell to doctors and hospitals to help them filter out non-cancerous moles in real-time, thus saving both patient and physician time, money and worry. Rather, the goal is to hopefully get people to volunteer their strange skin conditions to help improve the system. Obviously, it’s early days and Doctor Hazel isn’t set up to diagnose anyone just yet. Those usually work by first taking a picture of the skin area in question, paying a certain amount to submit it to the app and then waiting for a skin doctor to get back to you with a diagnosis. Note that there are already a number of apps used to diagnose skin conditions like FirstDerm and SkinVision. Though, Ma and Borozdin did caution this system has only been up for a day and might not have enough information so I’m still going to get it checked out later. The team tried the system on a strange red patch I’ve suddenly developed and determined with a 74 percent confidence it was a non-cancerous mole.
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