Latest AI and machine learning research in pneumonia for healthcare professionals.
INTRODUCTION: The primary aim was to develop convolutional neural network (CNN)-based artificial int...
With the increasingly serious population aging, economic system transformation, and social transform...
A major challenge for the pharmaceutical/vaccine industry is to anticipate and test/control product ...
The rapid outbreak of coronavirus threatens humans' life all around the world. Due to the insufficie...
PURPOSE: Lunit INSIGHT CXR (Lunit) is a commercially available deep-learning algorithm-based decisio...
Interstitial pneumonia is a heterogeneous disease with a progressive course and poor prognosis, at t...
World Health Organization (WHO) declared COVID-19 (COronaVIrus Disease 2019) as pandemic on March 11...
Accurate epidemiological models are necessary for governments, organizations, and individuals to res...
BACKGROUND: COVID-19 pandemic resulted in about 165 million infections and 3.4 million deaths all ov...
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number ...
The tragic pandemic of COVID-19, due to the Severe Acute Respiratory Syndrome coronavirus-2 or SARS-...
Microbial community structure is influenced by the environment and in turn exerts control on many en...
Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running para...
India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual ...
The rapid evolution of the novel coronavirus disease (COVID-19) pandemic has resulted in an urgent n...
Infectious diseases pose a threat to human life and could affect the whole world in a very short tim...
Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical images. Exist...
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread threaten...
PURPOSE: Over the last 2 years, the artificial intelligence (AI) community has presented several aut...
BACKGROUND: Deep convolutional neural networks (DCNNs) for diagnosis of disease on chest radiographs...
This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...