NCT04442425Completed
Machine Learning to Analyze Facial Imaging, Voice and Spoken Language for the Capture and Classification of Cancer/Tumor Pain
A Feasibility Study Investigating the Use of Machine Learning to Analyze Facial Imaging, Voice and Spoken Language for the Capture and Classification of Cancer/Tumor Pain
Source: ClinicalTrials.gov · Last updated 26 Oct 2026
Brief summary (registry, in English)
Background: Cancer pain can have a very negative effect on people s daily lives. Researchers want to use machine learning to detect facial expressions and voice signals. They want to help people with cancer by creating a model to measure pain. They want the model to reflect diverse faces and facial expressions. Objective: To find out whether facial recognition technology can be used to classify pain in a diverse set of people with cancer. Also, to find out whether voice recognition technology can be used to assess pain. Eligibility: People ages 12 and older who are undergoing treatment for cancer Design: Participants will be screened with: Cancer history Information about their sex and skin type Information about their access to a smart phone and wireless internet Questions about their cancer pain Participants will have check-ins at the clinic and at home. These will occur over about 3 months. They will have 2-4 check-ins at the clinic. They will check in at home about 3 times per week. During check-ins, participants will answer questions and talk about their cancer pain. They will use a mobile phone or a computer with a camera and microphone to complete a questionnaire. They will record a video of themselves reading a 15-second passage of text and responding to a question. During the clinic check-ins, professional lighting, video equipment, and cameras will be used for the recordings. During remote check-ins, participants will be asked to complete the questionnaire and recordings alone. They should be in a quiet and bright room. The room should have a white wall or background.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 83 (actual)
- First submitted
- 19 Jun 2020
- Start date
- 27 Oct 2020
- Primary completion date
- 27 Mar 2024
- Lead sponsor
- National Cancer Institute (NCI)
- Diseases
- Childhood cancers
- NCT number
- NCT04442425
What you commit to
- Study type: Observational
- Participants enrolled: 83
- From 27 Oct 2020 to the primary completion date, 27 Mar 2024
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Known current alcohol or drug abuse.
Other illness
- Participants with Parkinson s disease.
- Any psychiatric condition that would prohibit the understanding or rendering of informed consent.
Other
- 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.
- Non-English speaking subjects.
Criteria the registry did not label
- INCLUSION CRITERIA:
- Ability of subject to understand and willingness to sign a written informed consent document.
- Adults and children (including NIH staff) aged \>= 12 years.
- Participants with diagnosis of a cancer or tumor
- Participant must be receiving either standard of care or investigational cancer/tumor treatment either at NIH or with a community physician.
- 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.
Age in the registry: 12 years to 120 years · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| National Institutes of Health Clinical Center Coordinator of this site? Confirm its status | Bethesda | United States | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.