Monitoring and understanding chronic pain using AI and telemonitoring
Official title: Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool (pAIn-sense)
Run by ETH Zurich · NCT06044584 · Data updated 2026-11-12
This study is testing a new way to manage chronic pain by using wearable technology and AI to better understand patients' pain experiences and improve their treatment.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 150 (estimated) |
| Sponsor | ETH Zurich Academic / other |
| Locations | 4 sites (Pietra Ligure, Savona and 3 other locations) |
| Status | Recruiting |
| Started | September 29, 2023 |
| Main results expected | December 15, 2028 |
| Study ends | December 31, 2028 |
| Registry record updated | January 20, 2025 |
| Trial ID | NCT06044584 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals experiencing ongoing nociceptive or neuropathic pain who are comfortable using electronic devices.
✕Probably not a fit
Patients who may not benefit include those unable to follow study procedures due to language barriers, psychological disorders, or cognitive impairments.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The pAIn-sense study aims to transform chronic pain management by utilizing an advanced telemonitoring system that combines Artificial Intelligence and wearable technology. This observational study will continuously gather multidimensional data on patients' physiological and psychosocial conditions, providing a comprehensive understanding of their pain experiences. By addressing the limitations of traditional pain management approaches, the study seeks to identify biomarkers and reliable endpoints for pain assessment, ultimately leading to more personalized treatment strategies. The focus is on both nociceptive and neuropathic pain, with the goal of improving patient outcomes and satisfaction.
Why it matters
Potential benefit: If successful, this study could lead to more effective and personalized pain management strategies for patients suffering from chronic pain.
How similar studies have gone: While the approach of using AI and telemonitoring for pain management is innovative, similar studies have shown promise in enhancing pain assessment and treatment personalization.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Ongoing nociceptive pain after an injury or Neuropathic pain (acute or chronic) * Familiar with using electronic devices Exclusion Criteria: * Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc. * Unable or not willing to give informed consent
Where it's running
-
Unita Spinale ASL
Pietra Ligure, Savona, Italy Recruiting -
Neuroengineering Lab
Zurich, Canton of Zurich, Switzerland Recruiting -
Balgrist University Hospital
Zurich, Canton of Zurich, Switzerland Recruiting -
CRR Suva (Clinique romande de réadaptation)
Sion, Valais, Switzerland Recruiting
Study contacts
- Principal investigator: Stanisa Raspopovic, PhD — ETH Zurich
- Study coordinator: Andrea Cimolato, PhD
- Email: andrea.cimolato@gmail.com
- Phone: 772466601
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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High-Intensity Peripheral Magnetic Stimulation for Traumatic Nerve Injury
This study tests whether adding high-intensity peripheral magnetic stimulation to a structured exercise program can reduce pain and improve function for adults with a traumatic peripheral nerve injury.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.