Artificial Intelligence Key To Treating Illness

UC and one of its graduates have teamed up to use artificial intelligence to analyze the fMRIs of bipolar patients to determine treatment.

In a proof of concept study, Dr. Nick Ernest harnessed the power of his Psibernetix AI program to determine if bipolar patients could benefit from a certain medication. Using fMRIs of bipolar patients, the software looked at how each patient would react to lithium.

Fuzzy Logic appears to be very accurate

The computer software predicted with 100 percent accuracy how patients would respond. It also predicted the actual reduction in manic symptoms after the lithium treatment with 92 percent accuracy.

UC psychiatrist David Fleck partnered with Ernest and Dr. Kelly Cohen on the study. Fleck says without AI, coming up with a treatment plan is difficult. “Bipolar disorder is a very complex genetic disease. There are multiple genes and not only are there multiple genes, not all of which we understand and know how they work, there is interaction with the environment.

Ernest emphasizes the advanced software is more than a black box. It thinks in linguistic sentences. “So at the end of the day we can go in and ask the thing why did you make the prediction that you did? So it has high accuracy but also the benefit of explaining exactly why it makes the decision that it did.”

More tests are needed to make sure the artificial intelligence continues to accurately predict medication for bipolar patients.

Source: WVXU

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