October 1, 2013
Phones can do just about anything these days, but what if your phone could provide a health diagnosis? A British mathematician has developed an algorithm that so far has shown to detect Parkinson’s disease from voice recordings with an accuracy of 99 percent in a laboratory setting.
The algorithm can also “predict the severity of symptoms to within a few percentage points of clinical judgment,” according to Max Little, a mathematician on the faculty of Aston University in Birmingham, England. While tests are still being run, if the analysis proves successful on a wide scale, the technology could eliminate a clinic’s laborious and expensive Parkinson’s symptom tests by providing a remote means of detecting and monitoring the disease as well as assist in research projects.
Learn more about how this revolutionary diagnosis works in this article.
You can also view the TED Talk video here.