Advances in artificial intelligence are increasingly leading to the automation and
augmentation of decision processes in work contexts. Although research originally generally …

Artificial intelligence (AI) promises to change health care, with some studies showing proof
of concept of a provider-level performance in various medical specialties. However, there …

Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An
understanding of the principles and application of radiomics, artificial neural networks …

Objective The attitudes about the usage of artificial intelligence in healthcare are
controversial. Unlike the perception of healthcare professionals, the attitudes of patients and …

Objectives Artificial intelligence (AI) has the potential to impact clinical practice and
healthcare delivery. AI is of particular significance in radiology due to its use in automatic …

Background Artificial intelligence (AI) is gaining increasing importance in many medical
specialties, yet data on patients' opinions on the use of AI in medicine are scarce. Objective …

Objectives The patients' view on the implementation of artificial intelligence (AI) in radiology
is still mainly unexplored territory. The aim of this article is to develop and validate a …

Introduction Artificial intelligence (AI) has the potential to transform clinical decision-making
as we know it. Powered by sophisticated machine learning algorithms, clinical decision …

Machine learning is a branch of computer science and statistics that generates predictive or
descriptive models by learning from training data rather than by being rigidly programmed. It …

Simple Summary Artificial Intelligence (AI) has been increasingly used in radiology to
improve diagnostic procedures over the past decades. The application of AI at the time of …