Over the last few years, scientists have been trying to recognize depression with the help of MRT brain scans. So far with little success. However, since the advent of machine learning processes, the results seem to have improved significantly, as an article published in the journal Psychiatric Research shows. According to the article, by comparing the brain scans of those affected and those not affected by depression, it was possible to make the right diagnosis with a 74% probability. Machine learning is now being enlisted in other research to investigate vocal patterns that could signal that someone has post-traumatic stress disorder, for example. Even Facebook is currently experimenting with AI technology, which aims to detect posts that could suggest the user may be suicidal.
It is also anticipated that AI technology will in the future be able to help doctors choose the right treatment method for their patients, as news site Vox reports : At Weill Cornell Medical College in New York, machine-learning algorithms have been used to distinguish four different types of depression based on brain scans of depressed patients. The scientists hope that in the future this will help doctors make more effective choices in terms of the right therapy. And artificial intelligence can even help provide therapy: With Tess , Michiel Rauws has developed a psychologically trained AI chatbot that patients with depression can talk to anytime.