This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.
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.
Diagnostic Test: AI model
Deep Learning CNN model
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
University of Hong Kong
Hong Kong, Hong Kong