Status:
SUSPENDED
DNIC Using Deep Learning and Artificial Intelligence
Lead Sponsor:
Université de Sherbrooke
Collaborating Sponsors:
Lucine
Centre for Research of CHUS (CRCHUS)
Conditions:
Chronic Pain
Eligibility:
All Genders
18-79 years
Brief Summary
Chronic pain (CP) is disabling for people triggering important costs for society. A deficit of diffuse noxious inhibitory controls (DNIC) is one of the CP mechanisms. DNICs are evaluated in research s...
Detailed Description
This study aims: 1. To develop and validate a predictive tool (using deep learning and artificial intelligence) to estimate the efficacy of pain control mechanisms. 2. To estimate references values f...
Eligibility Criteria
Inclusion
- Healthy participants
- 18-79 years old
- No chronic pain
- Able to provide consent
Exclusion
- Cardiovascular disease (arrhythmia, cerebrovascular accident, infarction...)
- Raynaud syndrome
- Severe psychiatric disease (dementia, schizophrenia, psychosis, major depression)
- Injuries or loss sensitivity to their forearms or hands
- Pregnant women or in post-partum period (\<1 year)
- Participants with chronic pain
- Inclusion Criteria:
- 18-79 years old
- Chronic pain (chronic pain is defined by any regular pain for more than 6 months)
- Able to provide consent
Key Trial Info
Start Date :
April 5 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 1 2025
Estimated Enrollment :
244 Patients enrolled
Trial Details
Trial ID
NCT04896827
Start Date
April 5 2022
End Date
December 1 2025
Last Update
December 6 2024
Active Locations (1)
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1
Université de Sherbrooke
Sherbrooke, Quebec, Canada, J1H 5N4