Radiology

AMSSE-SwinTrans: A harmonized multimodal hybrid framework with explainable AI for ischemic stroke lesion segmentation.

BackgroundAccurate ischemic stroke lesion segmentation from magnetic resonance imaging (MRI) is impo...

Multi-Dimensional Feature Adaptive Gating Network for Multi-View and Whole-Brain Magnetic Resonance Imaging-Based Alzheimer's Disease Classification.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder associated with structural brai...

Artificial Intelligence Models Based on Medical Imaging Achieve Accurate Detection of Rotator Cuff Tear and Initial Predictive Capability for Postoperative Outcomes: A Systematic Review.

PURPOSE: To assess the performance of artificial intelligence (AI) compared with physicians in detec...

Pediatric 7 Tesla MRI: Current Applications and Future Opportunities.

Utilization of ultra-high-field (UHF) MRI in humans has rapidly increased over the past decade, foll...

Artificial intelligence in orthodontics: clinical maturity, evidence gaps, and emerging applications-a narrative review.

Artificial intelligence (AI) is rapidly transforming orthodontics by enhancing diagnostic accuracy, ...

Gray matter subtyping with SuStaIn reveals neuroanatomical patterns in autism spectrum disorder.

Autism spectrum disorder (ASD) is highly heterogeneous, and structural magnetic resonance imaging (M...

Decoupling Multi-Contrast Super-Resolution: Self-Supervised Implicit Re-Representation for Unpaired Cross-Modal Synthesis.

Multi-contrast super-resolution (MCSR) is crucial for enhancing MRI but current deep learning method...

Deep Residual Learning for Iodine Estimation in Digital Breast Tomosynthesis.

OBJECTIVE: Dual-energy contrast-enhanced digital breast tomosynthesis (DECE-DBT) could provide the q...

Identification of recycled PET fibers using TMAH-assisted reactive pyrolysis-GC/MS and machine learning.

Recycled poly(ethylene terephthalate) (rPET) is increasingly used in polyester fibers, but reliable ...

Smooth total variation regularization for interference detection and elimination (STRIDE) for MRI.

OBJECTIVE: MRI is increasingly required to operate near electronic devices that emit dynamic electro...

Digital Twins in Toxicology: Toward Predictive, Personalized and Real-Time Risk Assessment.

Toxicology has accumulated many predictive tools - physiologically based pharmacokinetic (PBPK) mode...

The Last Apprenticeship What interventional radiology reveals about training in the AI era.

Multimodal Carotid Ultrasound-based Artificial Intelligence Model for Predicting Acute Ischemic Stroke Risk in Patients with Type 2 Diabetes Mellitus.

RATIONALE AND OBJECTIVES: Patients with type 2 diabetes mellitus (T2DM) are at high risk of acute is...

Subtraction iodine maps combined with deep learning reconstruction for improved evaluation of bony invasion in temporal bone lesions.

OBJECTIVES: To assess the capability of subtraction iodine maps (SIM) combined with deep learning re...

A Bayesian-Optimized Weighted Fuzzy Rank-Based Ensemble for Coronary Stenosis Detection in X-ray Angiography.

X-ray coronary angiography is the gold standard for diagnosing coronary artery disease, a leading ca...

Systemic Diseases and the Eye: A Translational Perspective on Diabetes.

Diabetes mellitus is a global chronic disease that affects the whole body and not just glucose metab...

Circulating Metalloproteinase Inhibitors and Artificial Intelligence-Derived Radiomics Predict Persistent Endoleak After Endovascular Abdominal Aortic Aneurysm Repair: A Multimodal Biological-Imaging Model.

OBJECTIVE: Persistent endoleak after endovascular abdominal aortic aneurysm repair (EVAR) reflects o...

UroVision: a new artificial intelligence software for functional magnetic resonance urography evaluation in children with congenital anomalies of the kidney and urinary tract.

OBJECTIVES: This study compared UroVision, a novel AI-based tool for automated three-dimensional (3D...

Greening computed tomography: a position paper on environmentally responsible imaging practice from the computed tomography subspecialty section of the Italian society of radiology.

Healthcare accounts for 4.4-4.5% of global greenhouse gas emissions, with computed tomography (CT) r...

Peritumoral ultrasound-driven multimodal AI model for predicting lymphovascular space invasion and prognosis in cervical cancer.

PURPOSE: Accurate preoperative assessment of lymphovascular space invasion (LVSI) in cervical cancer...

From validation trials to clinical reality: implementing AI-supported prostate MRI pathways in the NHS.

Prostate cancer remains the most common cancer diagnosed in men in the UK. The adoption of pre-biops...