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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Post-Surgery data collection system | Subjects undergoing standard of care low-risk plastic surgery be provided with wearable sensors to take home and start recording heart rate, body temperature and body movements |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Machine learning algorithms | Other | Machine learning techniques to rank order physiologic variables obtained via the wearable and handheld devices as well as remove low-importance and redundant variables to accurately determine postoperative pain intensity in outpatients |
| Measure | Description | Time Frame |
|---|---|---|
| Using machine Learning for Postoperative Pain Pain Prediction | The primary outcome will be the accuracy of machine learning algorithms for postoperative pain prediction using root mean square errors. | 8 months |
| Measure | Description | Time Frame |
|---|---|---|
| Physiologic variable %Δ defining the physiologic biomarker's change in measurements after pain medication | 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). | 8 months |
| Physiologic variable absolute Δ defining the physiologic biomarker's change in measurements after pain medication |
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Inclusion Criteria:
Exclusion Criteria:
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Patients aged 18 or older undergoing low-risk outpatient plastic surgery procedures with expected pain intensities ranging from mild to severe will be included in the study.
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| Name | Affiliation | Role |
|---|---|---|
| Antonio Forte, MD, PhD | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic Florida | Jacksonville | Florida | 32224 | United States |
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| Label | URL |
|---|---|
| Mayo Clinic Clinical Trials | View source |
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| ID | Term |
|---|---|
| D010146 | Pain |
| ID | Term |
|---|---|
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| ID | Term |
|---|---|
| D000098435 | Machine Learning Algorithms |
| D001185 | Artificial Intelligence |
| ID | Term |
|---|---|
| D000465 | Algorithms |
| D055641 | Mathematical Concepts |
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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). |
| 8 months |