A new study published by researchers at The Ohio State University found that artificial intelligence (AI) tools were able to predict seizure outcomes in mice.

Seizures temporarily disrupt motor controls causing involuntary muscle contractions and disorientation, among other symptoms. These disruptions typically follow specific behavioral patterns, helping researchers identify seizure types, onset zones and potential outcomes.

Researchers said using AI-assisted tools to analyze seizures can enhance medical accuracy and efficiency in the field while also "opening new possibilities of personalized treatment strategies."

"By analyzing movement patterns in a data-driven manner, we can accurately classify seizure types and predict outcomes," Bin Gu, study senior author and assistant professor with Ohio State's Department of Neuroscience, said.

Analyzing the behavioral patterns of someone who suffers from seizures is often time-consuming and can overlook key details, Gu added. That's why researchers like Gu say AI-assisted programs may be the key to transforming neurological medical care, especially when connected to personal devices.

"Looking ahead, the ability to analyze videos captured on smartphones and home surveillance devices has exciting implications. This could transform how seizures are recognized outside of the clinic, giving families and caregivers a simple way to contribute valuable diagnostic information," Gu said.

The study author added that this development may be particularly critical for underserved and rural communities—those experiencing higher barriers to medical care are more likely to receive assistance through telemedicine.

The two AI-assisted tools used by researchers in the study have already identified over 60 seizure-related behaviors among mice test subjects.