Mentis Care and Emory University Partner on Channel Agnostic AI for Seizure Detection and Protection

Mentis Care, an AI-driven neuromonitoring company, announced a research collaboration with Emory University aimed at developing artificial intelligence systems that can detect and predict epileptic seizures using multiple types of neurological data. The project will focus on creating channel-agnostic AI models capable of analyzing signals from different monitoring technologies, including electroencephalography and other neurological data sources. The goal is to improve seizure detection accuracy and enable earlier identification of patterns that may indicate an impending seizure. Improvement in even five minutes of warning times for seizure detection is vital for patients, which is the aim behind Mentis Care building the technology powered by AI to solve this.

Researchers say traditional seizure detection systems often depend on specific monitoring channels, which can limit their effectiveness across different clinical environments or patient monitoring devices. AI models designed to analyze diverse signal types could expand how seizure monitoring systems are deployed in hospitals and research settings. The collaboration reflects growing interest in applying machine learning to neurological monitoring and epilepsy care with an ongoing research focus on development, clinical review and regulatory testing.

Posted by MedCloudInsider Editors on 03/16/2026