Monitoring and understanding chronic pain using AI and telemonitoring
Unveiling Physiological and Psychosocial Pain Components with an Artificial Intelligence Based Telemonitoring Tool (pAIn-sense)
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 |
|---|---|
| Enrollment | 150 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | ETH Zurich Academic / other |
| Locations | 4 sites (Pietra Ligure, Savona and 3 other locations) |
| Trial ID | NCT06044584 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals experiencing ongoing nociceptive or neuropathic pain who are comfortable using electronic devices.
Not a fit: Patients who may not benefit include those unable to follow study procedures due to language barriers, psychological disorders, or cognitive impairments.
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 performed: 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.
Eligibility criteria
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 this trial is running
Pietra Ligure, Savona and 3 other locations
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.