Actively Recruiting
SENSAI: Smart AI Technology for Automatic Pain Assessment in Cancer Patients - Database Development
Led by Dr. Mark Mulder · Updated on 2026-03-11
200
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
Sponsors
D
Dr. Mark Mulder
Lead Sponsor
D
Delft University of Technology
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are conducting an observational study to build a secure, high-quality audiovisual database of adults with cancer to aid future artificial intelligence (AI) research in pain assessment. The study aims to capture how people with cancer express pain and non-pain experiences through short video and sound recordings. This research includes two groups: those admitted for cancer-related pain and those admitted for chemotherapy without pain. Participants will be video recorded from the shoulders up for up to 60 seconds while reading a short sentence and describing their pain or daily experience. They will complete a brief questionnaire about their mood and pain expression. Those in the pain group may have recordings on several consecutive days during their admission, while the control group will be recorded once. Clinical information such as pain scores, medications, and cancer type will be collected from medical records. No experimental treatments or extra hospital visits are involved. During the study, participants will be assessed through audiovisual recordings and questionnaires. Researchers will collect clinical data from electronic health records and analyze facial and vocal features using open-source software. The primary outcome is the audiovisual recordings of facial and vocal pain expression collected up to two weeks. This study provides a foundation for developing AI tools to support more accurate pain monitoring in clinical care, with all data securely stored and handled with privacy protections.
CONDITIONS
Brief Title
Developing a Multimodal Cancer Pain Database to Support AI-Based Automatic Pain Assessment
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adult patients (18 years and older)
- Diagnosed with active cancer
- Able to communicate verbally in Dutch or English
- Able to provide written informed consent
- For pain group: experiencing cancer-related pain and admitted for pain treatment
- For control group: no pain (Numerical Rating Scale = 0) and admitted for chemotherapy
You will not qualify if you...
- Cognitive, physical, or medical limitations affecting participation or facial/voice expression (e.g., facial paralysis, tracheostomy, severe speech impairment)
- Critical illness or end-of-life care causing additional burden
- Experiencing pain not related to cancer
- Infectious isolation precautions preventing safe data collection
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Up to 2 weeks
Participants are recorded via short audiovisual sessions and complete brief questionnaires about their mood and pain expression. Clinical and patient-reported data are collected from medical records alongside the recordings.
1 recording session for control group; multiple consecutive daily recording sessions during admission for pain group
Trial Site Locations
Total: 1 location
1
Erasmus University Medical Centre
Rotterdam, South Holland, Netherlands, 3015 GD
Actively Recruiting
Research Team
M
Marsha Kamsteeg, MSc
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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