AI could read pain on the faces of silent ICU patients

NCT ID NCT03905668

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.

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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

  • UF Health Shands Hospital

    Gainesville, Florida, 32608, United States

More trials for these conditions

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