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DNIC Using Deep Learning and Artificial Intelligence
Sponsor: Université de Sherbrooke
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 setting using a CPM protocol (conditioned pain modulation). There is a lack of reference values on the effectiveness of DNICs. Wider research on DNIC will help to understand CP and to develop a clinical screening test evaluating DNICs. This study aims more specifically to determine whether it is possible to develop a facial recognition system to automate pain measurement and the effectiveness of pain control mechanisms.
Official title: Reference Values and Clinical Screening Test of Diffuse Noxious Inhibitory Controls (DNIC) Using Deep Learning and Artificial Intelligence
Key Details
Gender
All
Age Range
18 Years - 79 Years
Study Type
OBSERVATIONAL
Enrollment
244
Start Date
2022-04-05
Completion Date
2028-12
Last Updated
2026-05-28
Healthy Volunteers
Yes
Conditions
Interventions
Conditioned pain modulation test
Conditioned pain modulation (CPM) protocol consist of evaluating pain during a heat test, before and after one conditioning stimulus (cold water bath); 3 cameras will be capturing participants' facial expressions during the tests.
Locations (1)
Université de Sherbrooke
Sherbrooke, Quebec, Canada