Timely identification of harmful brain activities via electroencephalography (EEG) is critical for brain disease diagnosis and treatment, which remains limited in application due to inter-rater variability, resource constraints, and poor generalizability of existing artificial…
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What You Should Know:
– Ceribell, Inc. today announced that the U.S. FDA has granted 510(k) clearance for its next-generation Clarity® algorithm.
– The FDA clearance makes the Ceribell System the first and only AI-powered point-of-care…
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Depression is a prevalent and costly mental disorder across all ages. Artificial intelligence (AI)-assisted physiological and behavioral information—such as electroencephalography (EEG), eye movement, video or audio monitoring, and gait analysis—offers a promising tool for…
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Surgical success for patients with focal drug resistant epilepsy (DRE) relies on accurate localization of the epileptogenic zone (EZ). Currently, no exam delineates this zone unambiguously. Instead, the EZ is approximated by the area…
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By Shania Kennedy
June 11, 2024 – A Duke University-led research team has developed a machine learning (ML) tool designed to assist clinicians in accurately reading the electroencephalography (EEG) charts of patients in intensive care.
EEGs are…
There is a significant unmet need for effective brain monitoring across various healthcare settings — including emergency departments, intensive care units, outpatient clinics and home environments — due in large part to the persisting…
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