Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool (pAIn-sense)

Status: Recruiting
Location: See all (4) locations...
Intervention Type: Other
Study Type: Observational
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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: t
View:

• Ongoing nociceptive pain after an injury or Neuropathic pain (acute or chronic)

• Familiar with using electronic devices

Locations
Other Locations
Italy
Unita Spinale ASL
RECRUITING
Pietra Ligure
Switzerland
CRR Suva (Clinique romande de réadaptation)
RECRUITING
Sion
Balgrist University Hospital
RECRUITING
Zurich
Neuroengineering Lab
RECRUITING
Zurich
Contact Information
Primary
Andrea Cimolato, PhD
andrea.cimolato@gmail.com
772466601
Backup
Noemi Gozzi
noemi.gozzi@gmail.com
Time Frame
Start Date: 2023-09-29
Estimated Completion Date: 2028-12-31
Participants
Target number of participants: 150
Treatments
Pain
Patients suffering from acute/chronic nociceptive and neuropathic pain
Control
Healthy controls
Related Therapeutic Areas
Sponsors
Collaborators: Balgrist University Hospital
Leads: ETH Zurich

This content was sourced from clinicaltrials.gov