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PAIN (Pain AI iNtervention) Platform for Patients at Home

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Mayo Clinic

Status

Invitation-only

Conditions

Pain

Treatments

Other: Machine learning algorithms

Study type

Observational

Funder types

Other

Identifiers

NCT05474274
21-013443

Details and patient eligibility

About

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.

Enrollment

70 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients undergoing low-risk outpatient plastic surgery procedures with expected pain intensities ranging from mild to severe.

Exclusion criteria

  • 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.

Trial design

70 participants in 1 patient group

Post-Surgery data collection system
Description:
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
Treatment:
Other: Machine learning algorithms

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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