Study Details First Artificial Intelligence Tool To Help Lab
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A recent study found high accuracy in predicting the probability of Covid-19 infection using routine blood tests, which can help hospitals reduce the number of patients referred for scarce PCR testing.

Complete Blood Count and Complete Metabolic Panels are common laboratory tests ordered by emergency departments and have a rapid turnaround time. The researchers were able to train a model that analyzes changes in these routine tests and assigns a probability of the patient being Covid-19 negative with high accuracy.

AI-Covid takes seconds to generate its informative result once these blood tests return, which can then be incorporated by the laboratory into its own test interpretation, said Jennifer Joe, M.D., an emergency physician in Boston, Mass. and Biocogniv's Chief Medical Officer.

The AI-Covid model was validated on real world data from Cedars-Sinai as well as on data from geographically and demographically diverse patient encounters from 22 U.S. hospitals, achieving an area under the curve of 0.91 out of 1.00.

This enables the model to achieve a high sensitivity of 95 per cent while maintaining moderate specificity of 49 per cent, which is very similar to the performance of other commonly used rule-out tests, said Biocogniv Chief Scientific Officer George Hauser, MD, a pathologist.

Source:
https://www.jmir.org/2020/12/e24048
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