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AI, brain scans may alter how doctors treat depression

Woman sitting in front of screen with electrodes attached to head
Research shows artificial intelligence can accurately predict whether an antidepressant will work based on a patient's brain activity.

Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients.

A national trial initiated by UT Southwestern in 2011 to better understand mood disorders has produced what scientists are calling the project’s flagship finding: a computer that can accurately predict whether an antidepressant will work based on a patient’s brain activity.

The new research is the latest among several studies from the trial that cumulatively show how high-tech strategies can help doctors objectively diagnose and prescribe depression treatments.

Visit the UT Southwestern Newsroom to read the full story.

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