Dataset Information
Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.
Ontology highlight
ABSTRACT: Background
The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.Methods
We tested a rapid, lateral flow antigen (LFA) assay with artificial intelligence read (LFAIR) in subjects from COVID-19 treatment trials (N = 37; daily tests for 5 days) and from a population-based study (N = 88; single test). LFAIR was compared to RT-PCR from same-day samples.Results
Using each participant's first sample, LFAIR showed 86.2% sensitivity (95% CI 73.6%-98.8) and 94.3% specificity (88.8%-99.7%) compared to RT-PCR. Adjusting for days since symptom onset and repeat testing, sensitivity was 97.8% (89.9%-99.5%) on the first symptomatic day and decreased with each additional day. Sensitivity improved with artificial intelligence (AI) read (86.2%) compared to the human eye (71.4%).Conclusion
LFAIR showed improved accuracy compared to LFA alone. particularly early in infection.
SUBMITTER: Richardson S
PROVIDER: S-EPMC9259514 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Publications
Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.
Diagnostic microbiology and infectious disease 20220707 3
<h4>Background</h4>The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.<h4>Methods</h4>We tested a rapid, lateral flow antigen (LFA) assay with artificial intelligence read (LFAIR) in subjects from COVID-19 treatment trials (N = 37; daily tests for 5 days) and from a population-based study (N = 88; single test). LFAIR was compared to RT-PCR from same-day sam ...[more]