Abstract
Over the last decades, especially during the COVID-19 pandemic period, lung ultrasound (LUS) gained interest due to multiple advantages: radiation-free, repeatable, cost-effective, portable devices with a bedside approach. These advantages can help clinicians in triage, in positive diagnostic, stratification of disease forms according to severity and prognosis, evaluation of mechanically ventilated patients from Intensive Care Units, as well as monitoring the progress of COVID-19 lesions, thus reducing the health care contamination. LUS should be performed by standard protocol examination. The characteristic lesions from COVID-19 pneumonia are the abolished lung sliding, presence of multiple and coalescent B-lines, disruption and thickening of pleural line with subpleural consolidations. LUS is a useful method for post-COVID-19 lesions evaluation, highlight the remaining fibrotic lesions in some patients with moderate or severe forms of pneumonia.
Detecting the Absence of Lung Sliding in Lung Ultrasounds Using Deep Learning
