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Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool
Sponsor: ETH Zurich
Summary
The pAIn-sense study aims to revolutionize the monitoring and treatment of chronic pain, a major health concern that significantly impacts psychological well-being and quality of life. Traditional approaches to pain management face challenges like unspecific drug use and high healthcare costs, and they often leave patients dissatisfied. PAIn-sense aims at comprehensively understanding pain from both physical and emotional perspectives. To accomplish this, the study will employ advanced Artificial Intelligence (AI) techniques and wearable sensing technology. The study aims to monitor patients continuously, during both day and night activities, to gather a multidimensional set of data on their physiological, psychosocial, and pain conditions.
Official title: Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool (pAIn-sense)
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
150
Start Date
2023-09-29
Completion Date
2028-12-31
Last Updated
2025-01-20
Healthy Volunteers
Yes
Conditions
Interventions
No intervention
Observational study with no intervention - Monitoring
Locations (4)
Unita Spinale ASL
Pietra Ligure, Savona, Italy
Neuroengineering Lab
Zurich, Canton of Zurich, Switzerland
Balgrist University Hospital
Zurich, Canton of Zurich, Switzerland
CRR Suva (Clinique romande de réadaptation)
Sion, Valais, Switzerland