Cleveland Clinic is preparing for AI-assisted EEG analysis, according to Epilepsy Center Director Imad Najm in a new Neuro Pathways interview. The goal is to help identify abnormalities and make EEG review more consistent while retaining clinical interpretation by physicians.
A practical direction for innovation The discussion connects machine learning with a familiar clinical challenge: reviewing long EEG recordings. Najm describes using the institution's digital EEG archive and associated clinical records to develop and assess models.
What happens next An initial rollout is hoped for in the fourth quarter of 2026, contingent on regulatory authorization. Further infrastructure is planned for early 2027. These are prospective milestones. The interview does not report a completed deployment or a new patient-outcome trial.
For clinicians and families This is a useful opportunity to understand the distinction between detecting an EEG pattern and deciding what that pattern means for an individual patient. The interview keeps that clinical context central.
Source and disclosure Cleveland Clinic institutional interview, published September 2, 2026. Prepared with AI assistance and checked against the original source on September 9, 2026.