A deep neural network-based automated detection tool could assist emergency room clinicians in diagnosing COVID-19 effectively using lung ultrasound images.
Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine.
The automated detection tool uses deep neural networks (DNNs) to identify COVID-19 features in lung ultrasound B-mode images and may help clinicians diagnose emergency department patients more efficiently.
“We developed this automated detection tool to help doctors in emergency settings with high caseloads of patients who need to be diagnosed quickly and accurately, such as in the earlier stages of the pandemic,” said senior author Muyinatu Bell, PhD… Continue reading.