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Clinical Trials/NCT04561024
NCT04561024
Unknown
Not Applicable

Evaluation of a Chest X-Ray AI Neural Network (RadGen SARS-CoV2 Detection System) for the Detection of RT-PCR Confirmed SARS-Cov2 Covid-19 Pneumonia

Ensemble Group Holdings, LLC1 site in 1 country4,000 target enrollmentStarted: March 1, 2020Last updated:
ConditionsCovid19

Overview

Phase
Not Applicable
Sponsor
Ensemble Group Holdings, LLC
Enrollment
4,000
Locations
1
Primary Endpoint
Diagnostic Performance of AI model

Overview

Brief Summary

This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.

Detailed Description

This is an international multi-center study. Chest radiographs (CXR) from different participating centers will be collected to develop an AI algorithm to detect COVID-19 pneumonia. This will be tested on external hold out datasets from different centers using SARS-CoV-2 by Real-Time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) Assay as ground truth.

Study Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Retrospective

Eligibility Criteria

Ages
18 Years to 120 Years (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • All adult patients \>18 years of age
  • Attended any of the participating institutes between February 1, 2020 until September, 2020
  • Underwent both RT-PCR testing and frontal CXR (within 48 hours of PCR testing) for COVID-19 infection
  • frontal CXR of patients pre-covid pandemic

Exclusion Criteria

  • Unavailability of patient demographics and clinical data
  • Inconclusive RT-PCR results
  • CXR considered to be of non-diagnostic quality by the clinical radiology research team at each site
  • CXR not in a retrievable or processable format for AI inference

Outcomes

Primary Outcomes

Diagnostic Performance of AI model

Time Frame: 9 months

Performance (accuracy, sensitivity, specificity, false-positive rate (FPR), false-negative rate (FNR), and Area Under the Curve (AUC)) of the AI model in detection of COVID-19 pneumonia on their baseline CXR using RT-PCR and historical controls as gold standard in a multi-center / multi-national cohort.

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor
Ensemble Group Holdings, LLC
Sponsor Class
Industry
Responsible Party
Sponsor

Study Sites (1)

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