… applications for all interventional medical fields. This review will address an overview of
machine learning, radiomics and AI in the field of interventional radiology, enumerating the …

… promising for radiology scenarios … for interventional radiology (IR) practice, including the
ability of AI to offer prognostic information to both patients and physicians about interventional …

… interventional radiologists to overcome this patient selection challenge, especially in the field
of interventional … of diagnostic and interventional radiology procedures and treatments [17]. …

… Interventional radiology is a data-rich specialty and could lead to the development of
artificial intelligence-powered applications in the field of interventional radiology. …

Artificial intelligence (AI) and deep learning (DL) remains a hot topic in medicine. DL is a
subcategory of machine learning that takes advantage of multiple layers of interconnected …

… Artificial intelligence (AI) has demonstrated great potential in a wide variety of applications
in interventional radiology (IR). Support for decision-making and outcome prediction, new …

… In this review, we describe artificial intelligence technologies that have been developed …
work, with a focus on artificial intelligence’s potential impact in pediatric interventional medicine. …

… artificially transform preoperative MR into artificially rendered CT, which can be helpful to the
interventional radiologist … CT or MR to construct artificial digital subtraction angiography in …

… and its role vis-à-vis radiology. … of interventional radiology as a clinical practice. As it
developed out of the well-established field of radiology, IR evolved as a subspecialty of radiology: …

… applications of artificial intelligence in nononcologic interventional radiology. Based on the
… applications of artificial intelligence in nononcologic interventional radiology were identified …