Radiology

Region guided mask R-CNN with Haralick ResNet fusion for accurate coronary artery disease detection in computed tomography angiography images.

Coronary Computed Tomography Angiography (CCTA) is a non-invasive imaging technique used to visualiz...

Foundation models for brain imaging: A systematic review.

Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have re...

Artificial Intelligence-Empowered Image Fusion of Coronary Computed Tomography Angiography and Invasive Angiography for Guiding Chronic Total Occlusion Percutaneous Coronary Intervention.

Coronary computed tomography angiography (CCTA) provides qualitative and quantitative characteristic...

Scalable Quantum Non-Local Neural Network Optimized with Tyrannosaurus Algorithm for Brain tumor Detection using MRI Images.

Early and reliable detection of brain tumors from magnetic resonance imaging (MRI) is essential for ...

Bone Magnetic Resonance Imaging: From Conventional Methods to AI-Driven Solutions.

With global population aging and increased life expectancy, bone diseases affect a substantial propo...

[Annual advances in clinical applications of pulmonary function testing 2025].

This review systematically synthesizes and critically appraises domestic and international advances ...

[Annual progress in imaging diagnosis of tuberculosis in 2025].

Tuberculosis (TB) remains a major global public health threat and continues to be one of the leading...

Deep learning based eye disease classification using Optical Coherence Tomography (OCT) images.

BACKGROUND AND OBJECTIVE: Optical Coherence Tomography (OCT) imaging plays a crucial role in the ear...

Pathology-Anchored Transcranial Sonography: A Cascaded Super-Resolution Deep Learning System for Early-Stage Parkinson's Disease Grading.

Delayed diagnosis of Parkinson's disease (PD) due to undetectable early pathological changes remains...

Multimodal deep feature fusion with transformer for brain tumor classification from magnetic resonance imaging.

Brain tumors (BTs) arise due to abnormal cell growth, which has a high mortality rate globally. Mill...

Automated scout-image-based estimation of contrast agent dosing: a deep learning approach.

BACKGROUND: Optimal contrast agent dosing in computed tomography (CT) depends on accurate patient we...

Computed tomography in ARDS, from morphological insights to AI-powered multi-modal analysis: a narrative review.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a critical clinical condition characterize...

Phase-constrained zero-shot self-supervised learning for BLADE liver MRI reconstruction.

INTRODUCTION: Liver MRI plays a critical role in the diagnosis and monitoring of liver disease; howe...

Artificial Intelligence Across the PSMA Theranostic Continuum in Prostate Cancer.

Prostate cancer is among the most common male malignancies worldwide, with recent advances in molecu...

Automated O-RADS Risk Stratification Using a Large Language Model Analysis of Narrative Ultrasound Reports.

BACKGROUND: The Ovarian-Adnexal Reporting and Data System (O-RADS) is essential for standardizing th...

Radiographic evaluation of the psoas and iliopsoas muscle as predictors for spinal cord ischemia after fenestrated and branched endovascular aortic repair.

OBJECTIVE: This study aimed to investigate the association between sarcopenia and spinal cord ischem...

Carpal Tunnel Syndrome Diagnosis: A Narrative Review of Complementary Roles of Neuromuscular Ultrasound and Electrodiagnostic Studies.

Carpal tunnel syndrome (CTS), the most prevalent entrapment neuropathy of the upper extremities, pre...

Model Based on Ultrasound Radiomics and Machine Learning for Differentiating Uterine Fibroids and Adenomyomas.

OBJECTIVES: To evaluate the value of radiomics based on ultrasound in differentiating uterine fibroi...

Diagnostic accuracy of artificial intelligence-assisted infant hip ultrasound interpretation for developmental dysplasia of the hip: systematic review and meta-analysis.

BACKGROUND: Ultrasound is the standard imaging test for infant developmental dysplasia of the hip (D...

Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography.

Intraindividual comparison of 3-T and 5-T gadoxetic acid-enhanced MRI for evaluating HCC: initial findings.

BACKGROUND: We aimed to evaluate the utility of 5-T Gadolinium-ethoxybenzyl diethylenetriaminepentaa...