AI could diagnose sleep disorders and epilepsy from overnight tests
NCT ID NCT07547501
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will develop and test artificial intelligence (AI) to automatically classify sleep stages from overnight sleep recordings (polysomnography). The goal is to see if the AI can match or beat expert manual scoring, with the aim of supporting diagnosis of chronic insomnia and epilepsy. Researchers will use data from 1,500 patients aged 18 to 65 who had sleep tests between 2011 and 2024. This is an observational study, meaning no new treatments are being tested.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to faster, more consistent diagnosis of sleep disorders and epilepsy using AI instead of manual scoring.
- What could go wrong
- This is an early-stage observational study using existing data, so the AI may not perform well enough in real-world settings or on diverse patient groups.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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