Researchers report the development of a smartphone application that combines smartphone camera imaging with machine learning to interpret SARS-CoV-2 serological rapid diagnostic test (RDT) results, the visual interpretation of which can be highly subjective.
The application yielded only 18 false negatives and 5 false positives out of 3,344 samples tested using 11 RDTs, suggesting that such an application could increase confidence in RDT results.
According to an article by the Proceedings of the National Academy of Sciences of the US (PNAS), "Using an app to help RDT users better confirm infection presents some strong advantages such as they learn how to perform valid tests through demonstration videos or blood sampling schematics included in the app."
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