Radiology

Artificial intelligence for triaging of breast cancer screening mammograms and workload reduction: A meta-analysis of a deep learning software.

OBJECTIVE: Deep learning (DL) has shown promising results for improving mammographic breast cancer d...

Beyond the : Early Applications of Generative Artificial Intelligence for Radiology Report Interpretation.

Pre-injection anticipation of artifacts in contrast-enhanced breast MRI: artificial intelligence harnessed for the aid once again.

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted ...

MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer.

Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral res...

Implementation of artificial intelligence models in magnetic resonance imaging with focus on diagnosis of rheumatoid arthritis and axial spondyloarthritis: narrative review.

Early diagnosis in rheumatoid arthritis (RA) and axial spondyloarthritis (axSpA) is essential to ini...

Real-time carotid plaque recognition from dynamic ultrasound videos based on artificial neural network.

PURPOSE: Carotid ultrasound allows noninvasive assessment of vascular anatomy and function with real...

Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal model.

PURPOSE: Computed tomography (CT) scans are a significant source of medically induced radiation expo...

A Deep Learning Model for Detecting Rhegmatogenous Retinal Detachment Using Ophthalmologic Ultrasound Images.

INTRODUCTION: Rhegmatogenous retinal detachment (RRD) is one of the most common fundus diseases. Man...

Robot-Assisted Minimally Invasive Multivessel Coronary Bypass Guided by Computerized Tomography.

OBJECTIVE: Robot-assisted minimally invasive coronary bypass surgery is one of the least invasive ap...

Antibacterial, Resistance Modulation, Anti-Biofilm Formation, and Efflux Pump Inhibition Properties of (Willd.) N. Halle (Celastraceae) Stem Extract and Its Constituents.

This study investigated the antibacterial, resistance modulation, biofilm inhibition, and efflux pum...

Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.

Deep learning has become a powerful tool for solving inverse problems in electromagnetic medical ima...

Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models.

BACKGROUND: To assess the efficacy of artificial intelligence (AI) models in diagnosing and prognost...

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is cha...

A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification.

Artificial intelligence (AI) algorithms, encompassing machine learning and deep learning, can assist...

Clinical evaluation of a deep-learning model for automatic scoring of the Alberta stroke program early CT score on non-contrast CT.

BACKGROUND: Automated measurement of the Alberta Stroke Program Early Computed Tomography Score (ASP...

Feasibility and acceptability of ChatGPT generated radiology report summaries for cancer patients.

OBJECTIVE: Patients now have direct access to their radiology reports, which can include complex ter...

Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallblad...

Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study.

STUDY DESIGN: This is a retrospective, cross-sectional, population-based study that automatically me...

Lesion detection in women breast's dynamic contrast-enhanced magnetic resonance imaging using deep learning.

Breast cancer is one of the most common cancers in women and the second foremost cause of cancer dea...

Quality assessment of colour fundus and fluorescein angiography images using deep learning.

BACKGROUND/AIMS: Image quality assessment (IQA) is crucial for both reading centres in clinical stud...