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AI reads faces to predict delirium before it strikes

NCT ID NCT07337356

Knowledge-focused Sponsor: Ruijin Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 795 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Feb 2026

An estimate. Start dates often move.

Expected to finish

Feb 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Adult patients (≥18 years old) admitted to the ICU of Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, including elderly patients, those post-surgery, with sepsis, and trauma, which are common high-risk populations for delirium.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Age ≥ 18 years, expected ICU stay ≥ 24 hours, and informed consent to participate in this study; Exclusion Criteria: * Patients with severe facial trauma/deformities that prevent complete expression acquisition, and patients with a history of emotional problems (such as anxiety, depression, etc.).

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Conditions

The condition(s) this trial relates to.

delirium

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Delirium Machine learning Prediction models

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  2. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

More trials for these conditions

Other studies related to the condition(s) this trial covers.