Evaluation of a COVID-19 Pneumonia CXR AI Detection Algorithm

NCT ID: NCT04561024

Last Updated: 2020-09-24

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

4000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-03-01

Study Completion Date

2020-12-31

Brief Summary

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

Detailed Description

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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.

Conditions

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Covid19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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RT-PCR Positive Patients

RT-PCR confirmed patients positive for SARS-CoV-2

AI model

Intervention Type DIAGNOSTIC_TEST

Deep Learning CNN model

Negative patients

RT-PCR confirmed patients negative for SARS-CoV-2 or patients with CXR performed before the emergence of COVID-19 pandemic

AI model

Intervention Type DIAGNOSTIC_TEST

Deep Learning CNN model

Interventions

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AI model

Deep Learning CNN model

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

120 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Ensemble Group Holdings, LLC

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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University of Hong Kong

Hong Kong, , Hong Kong

Site Status

Countries

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Hong Kong

Other Identifiers

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EN-092020

Identifier Type: -

Identifier Source: org_study_id

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