Machine Learning to Analyze Facial Imaging, Voice and Spoken Language for the Capture and Classification of Cancer/Tumor Pain
NCT04442425 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 83
Last updated 2026-05-22
Summary
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.
...
Conditions
- Cancer
- Neoplasms
- Solid Tumors
Sponsors & Collaborators
-
National Cancer Institute (NCI)
lead NIH
Principal Investigators
-
James L Gulley, M.D. · National Cancer Institute (NCI)
Eligibility
- Min Age
- 12 Years
- Max Age
- 120 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-10-27
- Primary Completion
- 2024-03-27
- Completion
- 2024-03-27
Countries
- United States
Study Locations
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