Latest AI and machine learning research in radiology for healthcare professionals.
Breast cancer is one of the most common malignancies among women globally. Magnetic resonance imagin...
PURPOSE: Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple le...
High-attenuation (HA) artifacts may lead to obscured subtle lesions and lesion over-estimation in di...
Low-dose PET offers a valuable means of minimizing radiation exposure in PET imaging. However, the p...
Traditional cloudy goji berry beverages (CGBs) preparation methods often cause irreversible phase se...
AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model fo...
PURPOSE: To evaluate the usefulness of radiomics features extracted from ultrasonographic images in ...
The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in soma...
BACKGROUND AND PURPOSE: Deep learning (DL)-based reconstruction enables improving the quality of MR ...
BACKGROUND AND PURPOSE: Recent advances in deep learning have shown promising results in medical ima...
Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial u...
BACKGROUND/AIMS: Magnetic resonance imaging (MRI) with a proton density fat fraction (PDFF) sequence...
RATIONALE AND OBJECTIVES: To construct and validate an interpretable machine learning (ML) radiomics...
OBJECTIVES: We assessed risk factors and developed a score to predict intensive care unit (ICU) admi...
BACKGROUND: Lung adenocarcinoma (LAC) comprises a substantial subset of non-small cell lung cancer (...
BACKGROUND: Breast cancer (BC) is the most frequently diagnosed cancer and the leading cause of canc...
In bone-imaging research, in situ synchrotron radiation micro-computed tomography (SRµCT) mechanical...
Anomalous aortic origin of the coronary artery (AAOCA) is a rare cardiac condition that can lead to ...
Magnetic resonance imaging (MRI) is a non-invasive imaging technique that provides high soft tissue ...
We previously demonstrated that a deep learning (DL) model of myocardial perfusion SPECT imaging imp...
This study aimed to predict positive surgical margins in breast-conserving surgery (BCS) using multi...