In some interesting research on obsessive-compulsive disorder, researchers at the University of California Los Angeles have developed an artificial intelligence system that predicts whether patients with OCD will benefit from Cognitive Behavior Therapy (CBT).
The February 2018 study, published in the Proceedings of the National Academy of Sciences, used a functional MRI machine, or fMRI, to scan the brains of 42 people with OCD before and after four weeks of intensive, daily cognitive behavioral therapy. Researchers specifically analyzed how different areas of the brain activate in sync with each other – a property called functional connectivity – during a period of rest.
The researchers then fed the participants’ fMRI data and symptom scores into a computer and used machine learning (that’s where the artificial intelligence comes in) to predict which people would respond well to treatment. The machine-learning program demonstrated 70 percent accuracy. It also correctly predicted participants’ final scores on a symptoms assessment within a small margin of error, regardless of how they responded to the treatment.
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