Machine Learning to Analyze Facial Imaging, Voice and Spoken Language for the Capture and Classif… (NCT04442425) | Clinical Trial Compass
CompletedNot Applicable
Machine Learning to Analyze Facial Imaging, Voice and Spoken Language for the Capture and Classification of Cancer/Tumor Pain
United States83 participantsStarted 2020-10-27
Plain-language 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.
Who can participate
Age range
12 Years – 120 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
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
Exclusion criteria
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Feasibility of using facial recognition technology to classify pain
. 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.
. Participants with Parkinson s disease.
. Known current alcohol or drug abuse.
. Any psychiatric condition that would prohibit the understanding or rendering of informed consent.