Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Chronic lung disease and heart failure (HF) commonly co-occur, share modifiable risk factors, and are preceded by a prolonged, heterogeneous, and subclinical phase that is poorly defined. RESEARCH QUESTION: Does the use of unsupervised machine learning identify distinct lung phenogroups, and are these phenogroups associated with cardiac structure and function? METHODS: Participants fro...
BACKGROUND: Previous research on brain network topology in Tobacco Use Disorder (TUD) has been inconsistent, likely due to overlooking the heterogeneity of addiction severity. Consequently, how these topological alterations manifest across different smoking severities is not fully understood. METHODS: Resting-state functional magnetic resonance imaging (fMRI) and clinical data were collected from ...
BACKGROUND: Accurate assessment of 3D four chamber cardiac anatomy is essential for managing repaired Tetralogy of Fallot (rToF), yet standard cardiac...
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarc...
PURPOSE: Machine learning (ML) may support decision-making for acute abdominal pain (AAP), but limited interpretability hinders adoption. We evaluated...
Learning-based image classification has become central to modern medical imaging, but the field is changing rapidly: foundation models, vision-languag...
A hybrid fusion architecture based on deep convolutional neural networks (CNNs) was implemented for AI-assisted classification of mandibular first mol...
MR data quality depends on static magnetic field (B0) homogeneity. At the beginning of each session, a brief field map quantifies subject-specific B0 ...
The ribosome biases the conformations sampled by nascent polypeptide chains along folding pathways toward biologically active states. A hallmark of th...
UNLABELLED: Mild cognitive impairment (MCI) is a heterogeneous condition, with up to 40% of patients progressing to dementia within three years of cli...
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet their role in postgraduate radiology training remai...
PURPOSE: Amyloid (A) deposition represents a specific pathological hallmark of Alzheimer's disease (AD). Clinical diagnostic protocols frequently rely...
Mitral regurgitation (MR) is a common valvular disorder and associated with adverse outcomes. Echocardiography is the primary imaging modality for MR ...
INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly regarding its effectiveness and cost-effectiveness i...
BACKGROUND: Developmental dysplasia of the hip (DDH) is among the most common musculoskeletal disorders in infants. Ultrasound, especially the Graf me...
Visceral adiposity has been implicated in metabolic dysregulation and chronic inflammation, both of which may contribute to kidney stone recurrence. H...
BACKGROUND: Accurate prediction of treatment response in Hodgkin lymphoma (HL) is crucial for personalized therapy. The Tensor Radiomics (TR) paradigm...
With the rapid development of artificial intelligence and medical image analysis, MRI-based automated diagnosis has provided an effective approach for...
Cardiovascular disease involves complex molecular, cellular, and physiological derangements that present challenges for traditional diagnostic and the...
OBJECTIVES: In temporomandibular joint osteoarthritis, condylar erosion is considered a sign of disease progression. Few studies have clarified the ex...