The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

Background: Artificial intelligence (AI) is the term used to describe the use of computers and
technology to simulate intelligent behavior and critical thinking comparable to a human …

Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic
decisions. Compared with rule-based systems, however, these systems are less transparent …

Deep learning has rapidly advanced in various fields within the past few years and has
recently gained particular attention in the radiology community. This article provides an …

Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine,
devices based on machine/deep learning have proliferated, especially for image analysis …

Background/objectives In the current scenario, artificial intelligence (AI) is going to change
almost all the areas of the medical field. The need is to study the research carried out in this …

Many clinical applications based on deep learning and pertaining to radiology have been
proposed and studied in radiology for classification, risk assessment, segmentation tasks …

Deep learning refers to a set of computer models that have recently been used to make
unprecedented progress in the way computers extract information from images. These …

There is a growing awareness that artificial intelligence (AI) has been used in the analysis of
complicated and big data to provide outputs without human input in various health care …