Crowdsourcing an Open COVID-19 Imaging Repository for AI Research

NCT05384912 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 81

Last updated 2025-08-28

No results posted yet for this study

Summary

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

Sponsors & Collaborators

  • University of Central Florida

    lead OTHER

Principal Investigators

  • Dexter Hadley, MD, PhD · University of Central Florida

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-11-18
Primary Completion
2025-02-06
Completion
2025-02-06

Countries

  • United States

Study Locations

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Entities

Diseases

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 NCT05384912 on ClinicalTrials.gov