Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Acanthamoeba keratitis (AK) is a severe, sight-threatening infectious disease with a ris...
ABSTRACT: Scapholunate ligament injuries are the most common ligamentous injuries of the wrist and t...
Dementia, particularly Alzheimer's disease (AD), is a growing concern in aging populations, with mil...
Patent ductus arteriosus (PDA) is a common congenital heart defect that requires timely and accurate...
Deep learning (DL) has driven major progress in medical imaging diagnosis. However, its effectivenes...
PURPOSE: This study revisits the tetrahedral encoding strategy originally proposed to accelerate Dif...
The century-old vision of a "magic bullet" in oncology is being realized through the paradigm of pre...
Water diffusion gives rise to micron-scale sensitivity of diffusion MRI (dMRI) to cellular-level tis...
PURPOSE: To develop a robust deep learning framework for noncontrast-enhanced functional lung MRI, o...
Accurate prediction of long-term functional outcomes for stroke patients remains a clinical challeng...
RATIONALE AND OBJECTIVES: Hyperpolarized 129Xe magnetic resonance imaging and spectroscopy (MRI/MRS)...
PURPOSE: Differentiating true progression (TP) from pseudoprogression (PsP) in glioma is challenging...
OBJECTIVE: In positron emission tomography (PET)/magnetic resonance imaging (MRI), attenuation corre...
OBJECTIVE: To develop preoperative diagnostic models for superficial lymph node tuberculosis (LNTB) ...
Multi-parametric quantitative magnetic resonance imaging (mqMRI) holds significant clinical potentia...
BACKGROUND: Fluoroscopic-assisted computer navigation is widely used to guide intraoperative decisio...
OBJECTIVES: Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic ab...
OBJECTIVES: This retrospective study aims to develop and validate a multimodal nomogram for the pren...
Among numerous medical imaging modalities, ultrasound imaging is one of the most commonly used diagn...
OBJECTIVE: To develop a robust and compact deep learning model for automated knee cartilage segmenta...
BACKGROUND: Stroke causes neurological impairment through local plasticity mechanisms, such as synap...