Radiology

A Dual-Task Deep-Learning Model with Fused Ultrasound Images for Simultaneous Typing and Grading of Cystocele.

INTRODUCTION AND HYPOTHESIS: We developed a dual-task deep-learning model, termed FD-Net, which util...

A comprehensive review of ultrasonographic imaging in athletic elbow injuries: a compartment-based approach.

Elbow injury rates are markedly higher among collegiate athletes than in the general population; how...

Comparison of radiomics-based models for detection of Modic type 1 changes in photon-counting detector CT images of the lumbar spine.

OBJECTIVE: To compare diagnostic performance of four radiomics-based machine learning models for det...

From Lumen to Myocardium With Artificial Intelligence: A Clinician's Guide to Comprehensive Cardiac CT.

Coronary artery disease assessment has long focused on stenosis severity, yet luminal narrowing alon...

Oral squamous cell carcinoma diagnosis with time and frequency domain features from optical coherence tomography A-scan signals.

Optical coherence tomography (OCT) is extremely useful in the screening and detection of oral cancer...

Musculoskeletal Interventions: The Past, Present, and Future.

Musculoskeletal radiology has transitioned to "musculoskeletal imaging and intervention," encompassi...

Evaluation of image quality between hybrid iterative reconstruction and deep learning reconstruction in low dose abdominopelvic CT in low body mass index individuals.

The study aimed to compare image quality between hybrid iterative reconstruction and deep learning i...

The Eighth Question of Artificial Intelligence in Interventional Radiology.

Radiomics and deep learning models for predicting glioma p53 status: A diagnostic accuracy systematic review and meta-analysis of magnetic resonance imaging studies.

PURPOSE: To systematically investigate the diagnostic performance of magnetic resonance imaging (MRI...

Top five Alzheimer Disease trial eligibility criteria favor men compared to women in a clinic-based cohort.

BACKGROUND: Less women participate in Alzheimer Disease (AD) trials compared to their estimated repr...

Factors predicting MRI glioma segmentation accuracy in deep learning models: a systematic review and meta-analysis.

BACKGROUND: Accurate segmentation is central for the diagnosis and treatment of gliomas. Although ma...

Prostate Cancer Detection on Micro-Ultrasound Raw Data Using a Deep Learning Neural Network.

BACKGROUND: Micro-ultrasound (micro-US) is a clinically available novel high-resolution imaging tech...

Opportunistic CT Fatty Muscle Fraction for Outcome Prediction in Patients Undergoing Transcatheter Mitral Valve Edge-to-Edge Repair.

BACKGROUND: Frailty is a risk factor for adverse outcomes in patients undergoing mitral valve transc...

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation.

BACKGROUND: The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stabil...

Deep learning model for noninvasive prediction of Ki-67 expression and prognostic stratification in breast cancer: a multicenter retrospective study.

OBJECTIVE: Ki-67 correlates with prognosis for patients with breast cancer. However, the evaluation ...

Incremental diagnostic value of multiregional single-slice CT muscle areas over L3 for sarcopenia: a deep learning-based segmentation study.

OBJECTIVE: To compare the diagnostic performance of multiregional CT-based muscle assessment with co...

The MR quality landscape in Europe.

OBJECTIVES: Over the last few years, with the introduction of advanced MR imaging techniques, increa...

A Segmentation-Guided Feature Alignment and Fusion Network for Glioma IDH Genotyping.

Isocitrate dehydrogenase (IDH) is a pivotal molecular marker for glioma diagnosis, prognosis, and tr...

The application of Artificial Intelligence in the ultrasound-based diagnosis of liver disease: current status, hurdles, and prospects.

Over the past decade, there has been marked progress in artificial intelligence (AI) and its applica...

Development and Clinical Validation of an Automated Artificial Intelligence System for Bowel Wall Thickness Assessment in Adult Inflammatory Bowel Diseases.

PURPOSE: Intestinal ultrasound (IUS) is used to assess and monitor inflammatory bowel disease (IBD)....

Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study.

BACKGROUND AND PURPOSE: IDH mutation & 1p/19q codeletion are critical biomarkers for glioma diagnosi...