Smartphone video may read pain in a Patient's face

NCT ID NCT04011189

First seen Aug 07, 2026 ยท Last updated Aug 07, 2026

Summary

This trial tests whether an automated video analysis algorithm can detect pain in post-surgical patients by analyzing their facial expressions and body movements. Participants will be videotaped with a smartphone before and after surgery or pain procedures, and their reported pain scores will be compared with the algorithm's predictions. The goal is to refine the algorithm to improve its sensitivity, potentially offering a new way to measure pain objectively.

What this could mean

Our plain-language read of the trial. This is informational only โ€” not medical advice or a prediction.

Active substance
Automated video analysis algorithm for pain detection
What this could lead to
If successful, this could lead to a non-invasive, objective pain assessment tool that helps doctors gauge pain in patients who cannot easily communicate, such as children or those with cognitive impairments.
What could go wrong
The algorithm is still being refined and may not accurately detect pain in all patients or settings. Video-based assessments could be affected by lighting, movement, or individual differences in pain expression.

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Conditions

The condition(s) this trial relates to.

Pain, Postoperative

As listed by the trial registrant

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

Contacts and locations

Locations

  • KK Women's and Children's Hospital

    Singapore, 229899, Singapore

  • Singapore General Hospital

    Singapore, Singapore

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