Google to release its new AI tool that helps people to identify skin conditions
Google announced last week that it has launched its new dermatological tool. The artificial intelligence mechanism would help people identify their underlying skin conditions- it cannot give them a professional diagnosis but can apparently help people in understanding what’s wrong with their skin. Users can upload around 3 pictures of their skin issue and the tool would offer a list of possible conditions that the artificial intelligence-driven system thinks are the best matches. As the software would show the standard textbook images of the condition users would also have the option to save the case to review it later or delete it entirely.
The company is all to set to launch the tool next year which means that researchers would soon be evaluating and analyzing know exactly how well it can match an unknown thing, like an image of a peculiar and odd rash or multiple skin problems someone uploads, with a known problem. The accuracy of the machine program would also be tested as the company says the tool includes an accurate match to a skin problem in the top three suggested conditions 84 percent of the time.
However, there’s a lot of skepticism harboring for the tool before its release- many are not sure about the fact that it actually serves its purpose since there is hardly any focus on the fact that what users are supposed to do with the information extracted. Hamish Fraser, an associate professor of medical science at Brown University who studies symptom-checkers said “In addition to the basic problem of whether people can even interpret the systems correctly and use them correctly, there’s also this question about whether people will actually respond to anything that is fed back to them from the system.”Even though the tool is expected to come with the objective of reducing the workload and stress on dermatologists that are presently in high demand all across the world it is not certain that it is going to help even though there is a strong desire in people to use the technology.
The company would conduct follow-up studies to check the reliability of the tool to monitor the effectiveness of the algorithm. Also, understanding and forecasting how people would tend to use the information derived from the mechanism would improve people’s experience with the healthcare system as it would also help doctors and developers in better and clearer understanding of their problems.
