Latest AI and machine learning research in nuclear medicine for healthcare professionals.
OBJECTIVES: To evaluate the image quality of low iodine concentration, dual-energy CT (DECT) combine...
AIM: To determine whether machine learning-based radiomic feature analysis of baseline integrated 2-...
AIM: To explore the formal caregivers' perceptions and experiences of using pet robots for persons l...
PURPOSE: Amyloid PET which has been widely used for noninvasive assessment of cortical amyloid burde...
This article is the second part in our machine learning series. Part 1 provided a general overview o...
The susceptibility of MRI to metallic objects leads to void MR signal and missing information around...
This brief review summarizes the major applications of artificial intelligence (AI), in particular d...
In the last two decades, it has been shown that anatomically-guided PET reconstruction can lead to i...
OBJECTIVE: Bone scintigraphy has often been used to evaluate bone metastases. Its functionality is e...
We developed a machine learning framework in order to establish the correlation between dose and act...
Previous studies have demonstrated the feasibility of reducing noise with deep learning-based method...
Artificial intelligence and machine learning based approaches are increasingly finding their way int...
BACKGROUND: The widespread use of electronic patient-generated health data has led to unprecedented ...
The emergence of artificial intelligence (AI) in nuclear medicine has occurred over the last 50 year...
BACKGROUND: The oral microbiome is a complex assembly of microbial species, whose constituents can t...
The aims of this study were to decrease the Lu-SPECT acquisition time by reducing the number of proj...
Mt. Ainos in Kefalonia Island, Greece, hosts a large variety of plant species, some of them endemic ...
Parallax error is a common issue in high-resolution preclinical positron emission tomography (PET) s...
OBJECTIVE: The main aim of this work is to build a robust Convolutional Neural Network (CNN) algorit...
PURPOSE: To evaluate the feasibility of coronary iodine concentration (CIC) by using spectral CT in ...
Machine learning (ML) algorithms permit the integration of different features into a model to perfor...