Recent advances and future perspectives of machine learning techniques offer promising
applications in medical imaging. Machine learning has the potential to improve different …

Abstract Machine learning (ML) is a branch of artificial intelligence centered on algorithms
which do not need explicit prior programming to function but automatically learn from …

Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process
data, understand its meaning and provide the desired outcome, continuously redefining its …

Lung cancer remains the leading cause of cancer mortality in the United States. Lung cancer
screening (LCS) with low-dose CT reduces mortality among high-risk current and former …

The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …

It may seem unlikely that the field of radiology perpetuates disparities in health care, as most
radiologists never interact directly with patients, and racial bias is not an obvious factor when …

Over the past few years, artificial intelligence (AI) has made a significant advance in the
medical world, particularly due to developments in the field of machine learning (ML) and …

There are many impactful applications of artificial intelligence (AI) in the electronic radiology
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …

Machine learning (ML) is a software solution with the ability of making predictions without
prior explicit programming, aiding in the analysis of large amounts of data. These algorithms …

The application of machine learning (ML) technologies in medicine generally but also in
radiology more specifically is hoped to improve clinical processes and the provision of …