Yale School of Medicine is finding ways for artificial intelligence to enhance its studies and research.

Rohan Khera, MD, MS, an assistant professor at Yale School of Medicine, has found AI can help predict if a person will experience heart failure symptoms.

“They'll often get these stickers, stuck to their chest you know in 10, 20 seconds we'll get a recording, printed on a piece of paper and clinicians use that or have historically used that to diagnose a range of cardiac conditions,” Dr. Khera explains the use of electrocardiograms, “but no one has used these as a prediction tool, to find people who will develop disease in the future."

Meanwhile, Mark Gerstein, PhD, a professor of Biomedical Informatics, has studied mental health with wearable devices.

He's using artificial intelligence to find specific features that link to disorders like ADHD and anxiety.

"For instance, we found heartrate is most useful for categorizing ADHD, but surprisingly it wasn't as useful for anxiety disorder, what's most useful there is sleep and actually your sleep at 3 a.m.,” explained Dr. Gerstein.

Dr. Khera says next step for his study is to go into perspective clinical trials.

He hopes the study generates engagement from people who want to participate since this study regards AI and is less intrusive than a study that uses medications.