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AI could read pain on the faces of silent ICU patients

NCT ID NCT03905668

Knowledge-focused Sponsor: University of Florida 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 13, 2026 · Last updated Jul 14, 2026 · Updated 1 time

Summary

This study explores whether artificial intelligence and video monitoring can recognize pain and delirium in intensive care unit (ICU) patients who cannot communicate verbally. Researchers will use cameras, accelerometers, and other sensors to capture facial expressions and body movements over up to seven days. The goal is to develop a system that automatically alerts nurses to signs of pain or confusion, potentially improving care for critically ill 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 an AI system that automatically detects pain and delirium in non-verbal ICU patients, helping nurses provide better care.
What could go wrong
This is an early-stage observational study with only 71 participants, so the AI models may not work well in all patients or settings. The technology is still being developed and tested.

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

71 people

The number who actually took part.

Started

Feb 2016

Expected to finish

Jul 2028

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

Adults in the ICU or Adults visiting recruited patients in the ICU

Ages

18 to 100 years

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.

ICU Patients: Inclusion Criteria: * patient admitted to University of Florida (UF) Health Gainesville ICU Exclusion Criteria: * Anticipated ICU stay is less than one day * Patient is on any form of contact precaution or isolation * Patient is unable to wear a Shimmer3 unit ICU Patient Friends/Family: Inclusion Criteria: * Individual has their name designated on a patient's informed consent form giving them permission to view and modify facial and activity data collected about that patient Exclusion Criteria: * Age \< 18 * They are unable to answer short questions on a touch screen display * They are unable to wear a proximity sensor * They were not on the listed of designated individuals specified in their friend/family members informed consent form

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Conditions

The condition(s) this trial relates to.

delirium Pain

As listed by the trial registrant

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

Delirium Pain

Contacts and locations

Locations

  • UF Health Shands Hospital

    Gainesville, Florida, 32608, United States

More trials for these conditions

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