AI cameras could spot delirium severity in ICU patients
NCT ID NCT06172491
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a video camera and artificial intelligence can accurately measure delirium severity in ICU patients over 50. Researchers will compare the camera data with standard bedside assessments. The goal is to create a passive digital marker that works automatically, without disturbing patients.
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 reliable, automated way to measure delirium severity in ICU patients, improving care without extra work for nurses.
- What could go wrong
- This is an early observational study, not a treatment trial. The digital marker may not prove accurate or practical in real-world ICU settings.
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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.
Contacts and locations
Locations
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Mayo Clinic
RECRUITINGRochester, Minnesota, 55905, United States
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