Deep learning COVID-19 detection bias: accuracy through artificial intelligence.

Shashank VaidReza KalantarMohit Bhandari

Published in: International orthopaedics (2020)

Our COVID-19 detection model minimizes manual interaction dependent on radiologists as it automates identification of structural abnormalities in patient's CXRs, and our deep learning model is likely to detect true positives and true negatives and weed out false positive and false negatives with > 96.3% accuracy.

Keyphrases

artificial intelligence
deep learning
coronavirus disease
big data
sars cov
machine learning
convolutional neural network
loop mediated isothermal amplification
real time pcr
label free
bioinformatics analysis