Press "Enter" to skip to content

New Artificial Intelligence Powered took to Diagnose Skin Problems

Google wants to answer the questions you raise after spotting pimples in your arm with the help of artificial intelligence. The search giant’s new dermatology feature, unveiled this week, uses machine learning to identify 288 different Skin ailments ranging from acne to melanoma based on user-submitted photographs.

Dr Karen DeSalvo, the company’s chief health officer and a former assistant secretary of health under the Obama administration said that in a matter of seconds, people can have a list of possible matching dermatological conditions. This will be inclusive of a range of Skin types and tones.The company said that there are more than 10 billion searches in Google related to Skin, nail and hair issues each year. But users may have difficulty describing their conditions through search terms alone. The company’s photo-based tool is designed to cover 90% of the most frequently searched dermatology related questions.

According to a study published in the medical journal Nature Medicine last year, Google’s tool is just as accurate at identifying Skin conditions as a group of dermatologists and outperforms non-specialists like primary care doctors and nurse practitioners. However, Google says you shouldn’t say goodbye to the dermatologist’s office yet.The company also warned people in the blog post that the Artificial Intelligence Powered tool is not intended to provide a diagnosis nor be a substitute for medical advice as many conditions require clinician review, in-person examination, or additional testing like a biopsy. Rather we hope it gives you access to authoritative information so you can make a more informed decision about your next step.

The company said that people can use their phone’s camera to take three pictures of the problem area let’s consider a rash on their arm. The artificial intelligence tool will answer a series of questions about their Skin type and other symptoms. The tool then gives a list of possible conditions from a set of 288 that it’s trained to recognize. It’s not intended to diagnose the problem.

Comments are closed.