AI watches over ICU patients to detect pain and confusion
NCT ID NCT05127265
First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time
Summary
This study tests whether cameras, motion sensors, and other monitors can automatically detect signs of pain, delirium, and physical decline in critically ill patients. Researchers will collect video, movement, noise, light, and vital sign data from 400 adults in the ICU. The goal is to train artificial intelligence to recognize these conditions more consistently than busy nurses can. If it works, the system could alert staff to problems earlier and improve patient care.
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, delirium, and physical decline in ICU patients, helping doctors intervene earlier.
- What could go wrong
- This is an early-stage observational study focused on developing algorithms, not testing a treatment. The AI may not be accurate enough for real-world use, and privacy concerns around continuous video monitoring exist.
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
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About 400 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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May 2021
- Expected to finish
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Dec 2026
An estimate. End dates often move.
- Lead sponsor
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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
Critically ill adults, aged 18 and over, admitted to UF Health Shands Gainesville ICU wards
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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: * aged 18 or older * admitted to UF Health Shands Gainesville ICU ward * expected to remain in ICU ward for at least 24 hours at time of screening Exclusion Criteria: * under the age of 18 * on any contact/isolation precautions * expected to transfer or discharge from the ICU in 24 hours or less * unable to provide self-consent or has no available proxy/LAR
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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.
Contacts and locations
Locations
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University of Florida Health Shands Hospital
RECRUITINGGainesville, Florida, 32610, United States
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Other studies related to the condition(s) this trial covers.
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- Can a battery keep ventilators running during ambulance transport?
- Training may cut dangerous complications when ICU patients need breathing tubes
- Could a neck vein check replace a harder ultrasound for ICU fluid management?