AI in medicine
The use of artificial intelligence in medicine is already real. It confirms the successful use of such systems in the diagnosis and automatic prescription of treatment for diseases such as cancer, Alzheimer’s, obesity and others. But past specialized and complex diagnostic systems, our specialists are developing technologies that allow them to use algorithms for predicting human condition quickly, using portable devices.
Developments in this area already now make it possible to identify human nervous disorders of varying degrees of severity by external signs. Stanford University scientists have successfully used this technology to diagnose depression using a conventional smartphone. A special real-time photo and video application is able to determine the state of depression in a person and its degree. Clinical trials have determined the accuracy of this state to be 85 percent. And even experienced specialists are often unable to provide such a result.
The technology is based on a combination of image recognition and the determination of a person’s mood by changes in the anthropometric points of the face relative to each other. The neural network is capable of learning for a specific person and tracking the dynamics of their progress or regression. The danger of depression is no longer in doubt, and the way in which depression can be detected quickly is very much in demand in our time, when a person is usually exposed to increased stress. And now every owner of a smartphone is able to diagnose this illness in his or her own home or that of his or her relatives, which will allow him or her to contact the right specialist in a timely manner.