Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML),
which is a subset of AI wherein machines autonomously acquire information by extracting …

Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as
it will in everyday life. In this review, we focus on the potential applications of AI in the field …

Objectives: The study evaluated the automatic prediction of obstructive disease from
myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion …

Objectives: This study evaluated the added predictive value of combining clinical information
and myocardial perfusion single-photon emission computed tomography (SPECT) imaging …

Background Explainable artificial intelligence (AI) can be integrated within standard clinical
software to facilitate the acceptance of the diagnostic findings during clinical interpretation …

Artificial intelligence and machine learning based approaches are increasingly finding their
way into various areas of nuclear medicine imaging. With the technical development of new …

In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and
prognostic probability of a disease or clinical outcome for their patients. For patients with …

Combined analysis of SPECT myocardial perfusion imaging (MPI) performed with a solid-
state camera on patients in 2 positions (semiupright, supine) is routinely used to mitigate …

Background The performance of left ventricular (LV) functional assessment using gated
myocardial perfusion SPECT (MPS) relies on the accuracy of segmentation. Current …

Objectives The aim of this study was to evaluate whether machine learning (ML) of
noncontrast computed tomographic (CT) and clinical variables improves the prediction of …