Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: The integration of machine learning (ML) into clinical laboratory medicine offers new op...
BACKGROUND: Murray law-based quantitative flow ratio (μQFR) is an angiography-derived physiological ...
BackgroundArtificial intelligence (AI) is increasingly used in prostate cancer diagnostic workflows ...
PURPOSE: We aimed to evaluate the diagnostic performance of ¹⁸F-FDG PET/CT-derived radiomics-based m...
Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associa...
In our practice, the treatment of pelvic bone tumors should begin with a multidisciplinary sarcoma-b...
Motor recovery prediction after stroke is hindered by the inability of single-modality imaging to ca...
The United States National Institutes of Health (NIH) serves as the cornerstone of biomedical resear...
RATIONALE AND OBJECTIVES: Immune checkpoint inhibitors (ICIs) have improved survival in non-small ce...
RATIONALE AND OBJECTIVES: Contrast-enhanced (CE) MRI provides clear corticomedullary contrast for re...
BACKGROUND: Despite the clinical utility of [18F]-fluorodeoxyglucose positron emission tomography (F...
Laboratory medicine is undergoing a profound transformation driven by advances in artificial intelli...
PURPOSE: To develop a deep learning (DL) approach for automatic segmentation and accurate risk strat...
In radiology practice, patient body weight is important for contrast media and radiopharmaceutical d...
BACKGROUND: Nasopharyngeal carcinoma (NPC) can be detected early on MRI, but adoption for screening ...
BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays ...
BACKGROUND: Parkinson's disease (PD) progression is highly heterogeneous, complicating clinical mana...
BACKGROUND: Temporomandibular joint (TMJ) effusion on magnetic resonance imaging (MRI) is considered...
The lumbar intervertebral disc high-intensity zone (HIZ), a focal hyperintensity within the annulus ...
PURPOSE: To evaluate whether whole-body PET/CT-derived body composition features are associated with...
PURPOSE: This study aimed to develop a deep learning model based on magnetic resonance imaging (MRI)...