The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI)
and machine learning techniques in medicine. This has been driven by the development of …

Unravelling machine learning: insights in respiratory medicine | European Respiratory Society
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Artificial intelligence (AI) and machine learning, a subset of AI, are increasingly used in
medicine. AI excels at performing well-defined tasks, such as image recognition; for …

Introduction The application of artificial intelligence (AI) and machine learning (ML) in
medicine and in particular in respiratory medicine is an increasingly relevant topic. Areas …

Artificial intelligence is a hot topic in medical imaging. The development of deep learning
methods and in particular the use of convolutional neural networks (CNNs), have led to …

Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …

Objective This review will focus on how AI—and, specifically, deep learning—can be applied
to complement aspects of the current healthcare system. We describe how AI-based tools …

Artificial Neural Networks (ANN) forms the basis of most deep learning methods. ANNs are
loosely based on the hypothesis of how biological neural networks operate: data enters the …

Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in
medicine and healthcare information is prompting a staggering growth of data intertwined …