Crowdsourcing an Open COVID-19 Imaging Repository for AI Research

Description

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.

Conditions

COVID-19

Study Overview

Study Details

Study overview

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.

Crowdsourcing an Open COVID-19 Chest Radiograph Imaging Repository for Artificial Intelligence Research

Crowdsourcing an Open COVID-19 Imaging Repository for AI Research

Condition
COVID-19
Intervention / Treatment

-

Contacts and Locations

Orlando

University of Central Florida, Orlando, Florida, United States, 32827

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Eligibility Criteria

  • * This study will include anyone in the country who has been tested for COVID-19 with a chest radiograph image.
  • * Patients who do not have a chest radiograph image used for COVID-19 testing

Ages Eligible for Study

18 Years to

Sexes Eligible for Study

ALL

Accepts Healthy Volunteers

Yes

Collaborators and Investigators

University of Central Florida,

Dexter Hadley, MD, PhD, PRINCIPAL_INVESTIGATOR, University of Central Florida

Study Record Dates

2026-03-01