AI learns to spot cancer pain from faces and voices
NCT ID NCT04442425
First seen Jun 26, 2026 · Last updated Jul 17, 2026 · Updated 8 times
Summary
This study tested whether machine learning can detect cancer pain by analyzing facial expressions, voice, and speech. 83 people with cancer recorded videos at clinic visits and at home over 3 months. The goal was to see if this technology could classify pain levels in a diverse group of 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 a new way to measure cancer pain using cameras and microphones, helping doctors better understand and treat pain.
- What could go wrong
- This was a small feasibility study, not a treatment trial. The technology may not work well in real-world settings or for 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
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83 people
The number who actually took part.
- Started
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Oct 2020
- Finished
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Mar 2024
- Lead sponsor
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A government research agency
The lead sponsor is the US National Institutes of Health.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with histologically or cytologically proven cancer or tumor
- Ages
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12 to 120 years
- 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: 1. Ability of subject to understand and willingness to sign a written informed consent document. 2. Adults and children (including NIH staff) aged \>= 12 years. 3. Participants with diagnosis of a cancer or tumor 4. Participant must be receiving either standard of care or investigational cancer/tumor treatment either at NIH or with a community physician. 5. Must have access to a smart phone (iPhone or Android) with either a data plan and/or access to wireless internet (wifi) or a computer with a camera and microphone and access to internet and must willing to use their device and assume any associated charges from service providers. EXCLUSION CRITERIA: 1. Participants with progressive brain tumors or metastasis. Participants with treated brain metastasis or primary brain tumor are eligible if there is no evidence of progression for at least 4 weeks after CNS directed treatment and there is no impact on voice or facial muscle movements. 2. Participants with Parkinson s disease. 3. Known current alcohol or drug abuse. 4. Any psychiatric condition that would prohibit the understanding or rendering of informed consent. 5. Non-English speaking subjects.
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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
-
National Institutes of Health Clinical Center
Bethesda, Maryland, 20892, United States
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