Your voice may reveal hidden exhaustion: new study tests AI fatigue detection
NCT ID NCT07033559
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This observational study will test whether computer analysis of voice recordings can detect a deep type of exhaustion called central fatigue in people with generalised myasthenia gravis. 240 adults in the US and UK will record themselves speaking twice daily, twice a week for 4 weeks, and answer short questionnaires. The goal is to see if voice patterns can reliably signal fatigue, potentially enabling remote monitoring.
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 a simple, remote way to monitor fatigue in myasthenia gravis using just a voice recording.
- What could go wrong
- This is an early observational study, not a treatment trial. The voice analysis may not be accurate enough, or patients may find daily recordings burdensome.
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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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