Clinical/methodological problem In the reconstruction of three-dimensional image data,
artifacts that interfere with the appraisal often occur as a result of trying to minimize the dose …

Computed tomography has made significant advances since its introduction in the early
1970s, where researchers have mainly focused on the quality of image reconstruction in the …

Background and purpose The use of AI in the process of CT image reconstruction may
improve image quality of resultant images and therefore facilitate low-dose CT …

Methods: Five databases, including MEDLINE, Google Scholar, Association for Computing
Machinery (ACM) Digital Library, Institute of Electrical and Electronics Engineers (IEEE) …

It seems like everybody in the radiology field is now working with Artificial Intelligence (AI) in
one way or another. Especially here in the Silicon Valley, the number of ventures that …

As radiologists, we are often at the forefront of technological advances in medicine, and
artificial intelligence (AI) implementation is no exception. Even though significant hurdles to …

Artificial intelligence (AI) will continue to cause substantial changes within the field of
radiology, and it will become increasingly important for clinicians to be familiar with several …

There are several imaging modalities used for obtaining the images of the internal parts of
the human body. Some modalities such as angiography require invasive procedure to …

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 …

Background: Artificial Intelligence is a topic no radiologist is unfamiliar with, considering the
rise of AI-steered technologies exponentially being introduced into the radiological practices …