A Study to Evaluate Rapid Throughput Screening for Human COVID-19 Infection
Stopped early
Conditions studied: Covid19
In brief
The purpose of this study is to assess the ability of an artificial intelligence smartphone-enabled point of care ECG to detect COVID-19.
Key facts
- Study ID
- NCT04725097
- Run by
- Mayo Clinic
- People needed
- 2821
- Starts
- 2020-12-10
- Expected to finish
- 2021-06-03
- Last updated by the study team
- 2021-09-09
Who can join
Age: 18 and older, up to 89. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- 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).
You may not qualify if…
- Unwilling or unable to provide informed consent.
Where it is running
- 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
- Mayo Clinic — Rochester, Minnesota, United States
- Hackensack Meridian Health — Hackensack, New Jersey, United States
- Sri Jayadeva — Bengaluru, Karnataka, India
- King Edward Memorial Hospital — Mumbai, Maharashtra, India
- Gregorio Marañon Hospital — Madrid, Spain
- Imperial College — London, England, United Kingdom
Full record on ClinicalTrials.gov
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