Aircraft AI to Help Treat Bipolar Disorders
According to a new research conducted by the University of Cincinnati in June 2017, artificial intelligence deployed in aircraft has proved beneficial in treating outcomes for bipolar disorder. This has paved way for wider application of artificial intelligence in treatment of various diseases.
Although medicine and aeronautics are not alike, each entails an ordered process to make best choices. ‘Genetic fuzzy’ is the AI used to over-maneuver aircraft, which constantly refines its answer, pitching the lesser choices in a similar way to the genetic processes of Darwin’s natural selection.
LITHIA—a similar predictive model—has been created for bipolar study. The University of Cincinnati conducted a study, in which 20 patients suffering from Bipolar disorder were prescribed Lithium and the results showed that after a period of eight weeks the manic episodes reduced in 15 of them.
The algorithm of LITHIA predicted the number of patients that would respond positively to lithium. It also predicted reductions in symptoms after eight weeks without any subjective data, apart from that of objective biological information.
“This is a huge first step and ultimately something that will be very important to psychiatry and across medicine,” said Adler, a researcher.
A chronic illness such as bipolar disorder that displays different symptoms for nearly every patient is difficult to find an alternative to. However, with the help of the artificial intelligence, lithium treatment has been able to treat manic symptoms with 92 percent accuracy rate.
With appropriate care, bipolar disorder can be tackled in way that the lives of patients suffering from it can return to normal, and Lithium is the proven cure.
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