Covid-AI detects COVID-19 infections in x-rays. It can differentiate between COVID-caused and other types of early-stage pneumonia. (Sensitivity to COVID: 99%, Accuracy: 97%.) The model was developed as a faster, cheaper detection method than RC-PCR screening. It is part of a broader program for detecting pathologies present in x-ray images.
X-ray machines are widely available, and taking images is inexpensive. Detecting COVID in x-rays increases access to testing, speed (vs. PCR), and allows patients to maintain safe social distancing.
A doctor captures a patient’s chest x-ray images. The patient consents to the doctor using those images for research. The doctor accepts the terms and conditions and uploads the x-ray images. He receives the screening results.
Bilateral chest x-rays from patients with pneumonia symptoms over the age of 18.
Model performance metrics are based on publicly available datasets. It should be used for research purposes only. The creators are currently improving it based on user feedback.
Model performance metrics
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