AI reads faces to predict delirium before it strikes
NCT ID NCT07337356
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
Delirium is common in hospital intensive care units (ICUs) and can be hard to diagnose. This study will use non-contact cameras to analyze patients' facial micro-expressions and other biological signals. By combining this data with machine learning, researchers aim to build a model that predicts delirium early. The study plans to enroll 795 adult ICU patients at Ruijin Hospital.
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 tool that helps doctors spot delirium earlier and more accurately in ICU patients, potentially improving outcomes.
What could go wrong
This is an early-stage observational study, not a treatment trial. The model may not be accurate enough for real-world use, and results may not apply to all patients.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for DELIRIUM are added.
By submitting, you agree to our Terms of use
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
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••