The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power�…

Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of�…

We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding
practicing radiologists. Our algorithm, CheXNet, is a 121-layer convolutional neural network�…

The classification of electrocardiogram (ECG) signals is very important for the automatic
diagnosis of heart disease. Traditionally, it is divided into two steps, including the step of�…

This study proposes a convolutional neural network model trained from scratch to classify
and detect the presence of pneumonia from a collection of chest X‐ray image samples�…

Long-short term memory networks (LSTMs), which have recently emerged in sequential data
analysis, are the most widely used type of recurrent neural networks (RNNs) architecture�…

Cardiovascular disease (CVD) is a general term for a series of heart or blood vessels
abnormality that serves as a global leading reason for death. The earlier the abnormal heart�…

The discovery and development of novel materials in the field of energy are essential to
accelerate the transition to a low-carbon economy. Bringing recent technological�…

These guidelines are intended for use by healthcare professionals who care for children and
adults with suspected or confirmed infectious diarrhea. They are not intended to replace�…

Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML),
which is a subset of AI wherein machines autonomously acquire information by extracting�…