Radiology

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 early diagnosis of ocular diseases. This study aims to develop and evaluate deep learning models for multi-class classification of retinal diseases using OCT images. METHODS: Four Convolutional Neural Network (CNN) architectures, including VGG16, VGG19, ResNet50, and InceptionV3, were evaluated under t...

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 a major clinical challenge limiting effective treatment. This study presents a novel diagnostic approach that integrates non-invasive imaging techniques with deep learning, facilitating accurate early diagnosis and staging of PD. A rat model of PD induced by 6-hydroxydopamine (6-OHDA) was establish...

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. Millions of lives can be saved through the timely iden...

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 weight, yet manual measurements increase workload an...

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 characterized by acute respiratory failure and high mortality....

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; however, image quality is often degraded by respirator...

Artificial Intelligence Across the PSMA Theranostic Continuum in Prostate Cancer.

Prostate cancer is among the most common male malignancies worldwide, with recent advances in molecular imaging and targeted radiopharmaceutical thera...

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 the risk stratification of ovarian lesions detected ...

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 ischemia (SCI) after fenestrated and branched endovascul...

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, presents diagnostic challenges due to nonspecific cli...

Feasibility Randomized Controlled Trial of Real-Time fMRI Neurofeedback for Reading Rehabilitation in Aphasia.

BACKGROUND: Reading impairments are common in stroke-induced aphasia and limit participation in functional and leisure activities. Traditional rehabil...

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 fibroids (UFs) and uterine adenomyomas (AMs) and constru...

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 (DDH) but is highly operator-dependent, leading to v...

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 diethylenetriaminepentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonan...

Quantitative CT Perfusion as a prognostic biomarker for chemotherapy response in patients with pancreatic ductal adenocarcinoma.

BACKGROUND: Response evaluation of pancreatic ductal adenocarcinoma (PDAC) with routine contrast-enhanced CT (CECT) using RECIST is currently inadequa...

A graph deep learning method for diagnosis of Parkinson's disease using brain functional connectivity features.

Early and precise identification of Parkinson's disease (PD) is crucial for clinical intervention. Resting-state functional magnetic resonance imaging...

Ultrasound Radiomics for Hashimoto's Thyroiditis: State of the Art and Future Perspectives.

Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and management of Hashimoto's thyroiditis (HT), effectively ...

Radiomics-based feature exploration and auxiliary diagnostic model construction for gaming disorder.

Subjective biases in current clinical assessments create an urgent need for objective biomarkers in Gaming Disorder (GD). Radiomics could help in diag...

Artificial intelligence augmented imaging of pancreatic fluid collections in acute pancreatitis.

Acute pancreatitis (AP) is a significant global health burden, with pancreatic fluid collections (PFCs) posing major diagnostic and therapeutic challe...