… This review will discuss applications of artificial intelligence (AI) within CT image
reconstruction. A history of CT image reconstruction techniques will be discussed in terms of its …

… optimisation of patient radiation dose from CT imaging. The word ‘optimise’ is used, as
opposed to the word ‘reduce’, because the goal of medical imaging is to arrive at an accurate …

… To tackle concerns over rising radiation doses from its increasing use and to improve image
quality, CT reconstruction techniques evolved from filtered back projection to commercial …

… aimed to highlight the application and use of artificial intelligence (AI) in optical … tomography
(OCT) imaging in ophthalmology. Artificial intelligence programs seek to simulate intelligent …

… into a tomographic image. EIT contains no identified threats and as compared to magnetic
resonance imaging (MRI) and computed tomography (CT) scans (imaging techniques), it is …

… artificial intelligence modelling in differentiating COM with and without cholesteatoma on
computed tomography images … , we think that with the use of artificial intelligence in practice, the …

… The use of CNN for CT images is more complex than for 2D chest radiograph images, due
to the 3D nature of images, the high number of slices and smaller size of datasets, requiring …

… Artificial intelligence can be incorporated into various clinical applications of cardiovascular
CT, including imaging of … on the application of deep learning to cardiovascular CT. The areas …

… Within a few years, all major CT vendors introduced IR algorithms for clinical use, which …
In this paper, we will take a concise look at the overall evolution of CT image reconstruction …

… anatomic and physiological imaging. Herewith is a summary of recent applications of rapidly
advancing artificial intelligence (AI) in CT and MRI oncological imaging that addresses the …