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Batch Enrollment for AI-Guided Intervention to Lower Neurologic Events in Unrecognized AF

NCT04208971 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1225

Last updated 2022-08-18

No results posted yet for this study

Summary

This is a prospective study to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis of unrecognized atrial fibrillation (AF) and stroke prevention.

Conditions

Interventions

OTHER

AI-enabled ECG-based Screening Tool for AF

A novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool to improve atrial fibrillation diagnosis and stroke prevention.

Sponsors & Collaborators

Principal Investigators

  • Xiaoxi Yao, PhD, MPH · Mayo Clinic

  • Peter Noseworthy, MD · Mayo Clinic

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-11-02
Primary Completion
2022-01-27
Completion
2022-01-27

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04208971 on ClinicalTrials.gov