Deep Learning-Based Automatic Assessment of Lung Impairment in COVID-19 Pneumonia: Predicting Markers of Hypoxia With Computer Vision.

Front Med (Lausanne) · 2022 · PMC9360571 · PMID 35957860

Europe PMC DOI

hedged sentence

0.1400

closest p · 2.8× alpha

0.1400

boldest claim

The sentences

approaching significancep = 0.14not close (p > 0.1)

The difference between the accuracy of the models trained on the non-extracted 2D and 3D images was approaching significance (11.75 ± 8.26 vs. 8.271 ± 4.13%; p = 0.14).

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