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

ConclusionsOur 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.
Source: International Orthopaedics - Category: Orthopaedics Source Type: research