Artificial Intelligence Will Detect People Who Need Antidepressants

Artificial intelligence , developed by scientists working at Stanford University , will analyze whether people need antidepressants.

Effective in one out of every three people

Currently, not every antidepressant has positive effects on everyone, and scientists are not so sure at the moment. The drug is effective only in a third of people who typically take it . A new artificial intelligence developed analyzes the brain wave data to determine whether the person needs antidepressants . With this technique, drug treatment of psychological diseases can gain a new dimension.

The names at the beginning of the study Amit effective , " There are basically some issues in psychiatry. For example, diseases're trying to discern whether characterized by their endpoints as they are causing which behavior. He tells me he was depressed and do not know more than that. I do not know what is going on in the brain bits and with very little information we have to write medicines. "

Effective wanted to learn whether a machine learning algorithm would be able to diagnose depression and whether it could detect people likely to respond to sertraline treatment from the brainwave and started their studies. He and his team collected EEG recordings showing the brain waves of the group of 228 people aged 18 to 65 and trained artificial intelligence with these records.

These people had used antidepressants before, but they were not using them during the studies. Half of the participants were given sertraline, while the rest were given things based on the placebo effect, and the researchers were monitored for eight weeks.

Results

As a result, only 41 percent of the general participants responded positively to sertraline. Positive responders account for 76 percent of those who artificial intelligence predicts will benefit . Despite all this, the technique must be repeated by the researchers before proceeding to the clinical application phase.