PMC:7782580 / 1392-1576 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"20","span":{"begin":146,"end":154},"obj":"Disease"},{"id":"21","span":{"begin":155,"end":164},"obj":"Disease"}],"attributes":[{"id":"A20","pred":"tao:has_database_id","subj":"20","obj":"MESH:C000657245"},{"id":"A21","pred":"tao:has_database_id","subj":"21","obj":"MESH:D007239"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"mpared to expert evaluation of the images, the neural network achieved upwards of 99% specificity, showing promise for the automated detection of COVID-19 infection in clinical setting"}