Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …

Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …

Artificial intelligence (AI) promises to revolutionize many fields, but its clinical
implementation in cardiovascular imaging is still rare despite increasing research. We …

Deep learning (DL) has a growing popularity and is a well-established method of artificial
intelligence for data processing, especially for images and videos. Its applications in nuclear …

Myocardial perfusion imaging (MPI), using either single photon emission computed
tomography (SPECT) or positron emission tomography (PET), is one of the most commonly …

Artificial intelligence (AI) is a rapidly expanding field, which refers to any computer algorithm
that performs tasks normally characteristic of human intelligence. 1 These algorithms could …

Background The aim of this research was to asses perfusion-defect detection-accuracy by
human observers as a function of reduced-counts for 3D Gaussian post-reconstruction …

Routine clinical dosimetry along with radiopharmaceutical therapies is key for future
treatment personalization. However, dosimetry is considered complex and time-consuming …

The development of state-of-the-art algorithms for computer visualization has led to a
growing interest in applying deep learning (DL) techniques to the field of medical imaging …

Objective Deep learning approaches have attracted attention for improving the scoring
accuracy in computed tomography-less single photon emission computed tomography …