With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …

Lung ultrasound (LUS) has evolved considerably over the last years with respect to its
theoretical and operative aspects. Consequently, its clinical application has come to be …

Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent
COVID-19 pandemic, some works have started to investigate DL-based solutions for the …

Background The COVID-19 pandemic has exposed the vulnerability of healthcare services
worldwide, especially in underdeveloped countries. There is a clear need to develop novel …

The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …

Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …

Abstract The Covid-19 European outbreak in February 2020 has challenged the world's
health systems, eliciting an urgent need for effective and highly reliable diagnostic …

Shortness of breath is a major reason that patients present to the emergency department
(ED) and point-of-care ultrasound (POCUS) has been shown to aid in diagnosis, particularly …

Ultrasound imaging of the lung has played an important role in managing patients with
COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During …

Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …