Patients & Methods
Abbreviations:AI (artificial intelligence), CECT (contrast-enhanced computed tomography), COVID-19 (Coronavirus disease 2019), CTPA (computed tomography pulmonary angiogram), FN (false negative), FP (false positive), HU (Hounsfield unit), PE (pulmonary embolism), SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), TN (true negative), TP (true positive)
Publication stageIn Press Accepted Manuscript
All authors declare no conflict of interest
Sensitivity and specificity of the artificial intelligence algorithm for the detection of pulmonary embolism in hospitalized COVID-19 patients was 93.2% and 99.6%, respectively.
The degree of parenchymal disease characterized by the total severity scoring system did not affect the accuracy of AI (P=.375).
The accuracy of artificial intelligence was affected by the mean attenuation in the pulmonary vasculature and was significantly higher in the CTPA group compared to the contrast-enhanced CT (P<.001) with an optimal cutoff value for AI at 362 HU (P=.048).
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