Crowdsourcing an Open COVID-19 Imaging Repository for AI Research

Completed

Conditions studied: COVID-19

In brief

The objectives of this project are to (1) assemble a crowdsourced, de-identified radiographic repository; and (2) train and validate existing COVID-NET deep learning diagnostic models.

Key facts

Study ID

NCT05384912

Run by

University of Central Florida

People needed

81

Starts

2020-11-18

Expected to finish

2025-02-06

Last updated by the study team

2025-08-28

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• This study will include anyone in the country who has been tested for COVID-19 with a chest radiograph image.

You may not qualify if…

• Patients who do not have a chest radiograph image used for COVID-19 testing

Where it is running

• University of Central Florida — Orlando, Florida, United States

Full record on ClinicalTrials.gov

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