A Study to Evaluate Rapid Throughput Screening for Human COVID-19 Infection

Mayo Clinic2,821 enrolled

Overview

The purpose of this study is to assess the ability of an artificial intelligence smartphone-enabled point of care ECG to detect COVID-19.

Study Type

OBSERVATIONAL

Enrollment

2,821

Conditions

Covid19

Eligibility

Sex: ALLMin age: 18 YearsMax age: 89 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Adult males and females age 18 or greater. * Undergoing COVID-19 testing by PCR. * Willing and able to provide informed consent. * Pregnant females (minimal risk study, no risk from ECG). Exclusion Criteria: \- Unwilling or unable to provide informed consent.

Locations (10)

Mayo Clinic

Phoenix, Arizona, United States

Mayo Clinic

Jacksonville, Florida, United States

LSUHSC Shreveport

Shreveport, Louisiana, United States

Henry Ford Health System

West Bloomfield, Michigan, United States

Outcomes

Primary Outcomes

COVID 19 Detection

Determine the safety and feasibility of the POC AI-ECG's ability to detect active SARS-Cov-2 infection in humans.

Time frame: One time screening within 4 hours of PCR test

Data from ClinicalTrials.gov

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