AI for Mental Health

There are many ways in which machine learning can help us better understand — and possibly treat — mental health conditions

Gunnar De Winter
Predict

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(Wikimedia commons, Martin420)

Big brain, big problem

The human brain is often called the most complex object in the known universe. Sounds great, doesn’t it? Kind of makes you feel good about being human, no?

The problem with complicated stuff is that it’s hard to figure out. Billions of neurons jabber incessantly through billions of synapses. That makes effective eavesdropping quite challenging. It also means that a lot can go wrong. In fact, our big brains could make us more susceptible to issues such as schizophrenia and bipolar disorder.

To be sure, brain imaging has come a long way, and it’s nowhere near finished developing. Interpreting the images, though, is not always an easy task. What do you do when you’re drowning in data and patterns? Right, call machine learning. Several AI systems are becoming pretty good at spotting anomalies on brain scans. There are already a few companies offering specific machine learning systems to speed up and improve brain scan interpretation.

Prediction and prevention

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