PAIN (Pain AI iNtervention) Platform for Patients at Home
- Conditions
- Pain
- Registration Number
- NCT05474274
- Lead Sponsor
- Mayo Clinic
- Brief Summary
The purpose of this research is to identify physiological markers to determine pain intensity and build an Artificial Intelligence (AI) enabled system to objectively measure pain intensity. Researchers hope to personalize pain medication regimens to help prevent medication over-use.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ENROLLING_BY_INVITATION
- Sex
- All
- Target Recruitment
- 70
- Patients undergoing low-risk outpatient plastic surgery procedures with expected pain intensities ranging from mild to severe.
- Patients with treated or untreated cardiopulmonary syndromes.
- Patients with treated or untreated ophthalmologic pathologies.
- Patients with skin pathologies that prevent us from using the TENS device.
- Patients with pathologies or conditions preventing them from appropriately using their voice.
- Patients with barriers to effective communication.
- Patients with poor digital literacy.
- Patients incapable of taking oral medication.
- Patients who are currently taking medical therapy for chronic pain.
- Patients with a previous diagnosis of severe anxiety disorders.
- Patients who are immobile at baseline.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Using machine Learning for Postoperative Pain Pain Prediction 8 months The primary outcome will be the accuracy of machine learning algorithms for postoperative pain prediction using root mean square errors.
- Secondary Outcome Measures
Name Time Method Physiologic variable absolute Δ defining the physiologic biomarker's change in measurements after pain medication 8 months The secondary outcome will be the physiologic variable's use to define the physiologic biomarker's change in measurements after pain medication (absolute Δ in signal's respective units).
Physiologic variable %Δ defining the physiologic biomarker's change in measurements after pain medication 8 months The secondary outcome will be the physiologic variable's use to define the physiologic biomarker's change in measurements after pain medication (%Δ in signal's respective units).
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
Trial Locations
- Locations (1)
Mayo Clinic Florida
🇺🇸Jacksonville, Florida, United States
Mayo Clinic Florida🇺🇸Jacksonville, Florida, United States