Latest AI and machine learning research in nuclear medicine for healthcare professionals.
Heart failure (HF) is a leading cause of morbidity and mortality in the United States and worldwide,...
We aimed to investigate the effects of F-FDG PET voxel intensity normalization on radiomic features ...
To better assess the pathology of neurodegenerative disorders and the efficacy of neuroprotective in...
In this work, we demonstrate the training, conversion, and implementation flow of an FPGA-based bin-...
BACKGROUND: Among patients with obstructive coronary artery disease (CAD) on coronary computed tomog...
BACKGROUND: The application of deep learning methods in rapid bone scintigraphy is increasingly prom...
Surprisingly little is known about how the home environment influences the behaviour of pet cats. Th...
OBJECTIVE: FDG PET imaging plays a crucial role in the evaluation of demented patients by assessing ...
The high noise level of dynamic Positron Emission Tomography (PET) images degrades the quality of pa...
INTRODUCTION AND OBJECTIVES: Lung cancer is the second type of cancer with the second highest incide...
The evolution of Positron Emission Tomography (PET), culminating in the Total-Body PET (TB-PET) syst...
OBJECTIVE: To explore the value of six machine learning models based on PET/CT radiomics combined wi...
BACKGROUND: Positron emission tomography (PET) is extensively employed for diagnosing and staging va...
Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor ...
OBJECTIVE: We developed a deep learning model for distinguishing radiation therapy (RT)-related chan...
Monolithic crystal detectors are increasingly being applied in positron emission tomography (PET) de...
AIM: To study the role of iodine, selenium and zinc in the pathogenesis of iodine deficiency and aut...
The aim of this study is to evaluate the major postoperative complication rate after robot-assisted ...
Early diagnosis of prostate cancer, the most common malignancy in men, can improve patient outcomes....
Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) ...
Manual segmentation poses a time-consuming challenge for disease quantification, therapy evaluation,...