Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Gramado consensus on imaging evaluation of the response to neoadjuvant systemic therapy for breast cancer.

The assessment of response to neoadjuvant systemic therapy (NST) is a critical pillar in defining th...

Jul 2026 42421849
Wasserstein Deep Convolutional GAN With Growth Optimizer for Multi-Modal Feature Extraction in Cardiovascular Diagnosis.

BACKGROUND: Cardiovascular disease (CVD) diagnosis using multimodal health care data remains a major...

Jul 2026 42415301
Deep Learning-Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI.

PURPOSE: To design a deep learning pipeline for automated, time-resolved segmentation of the left at...

Jul 2026 42415491
Point-of-care ultrasound in cardiovascular imaging: current status and future prospects.

INTRODUCTION: As ultrasound technology has become more advanced and accessible over the years, point...

Jul 2026 42415510
A randomized multi-window 3D deep learning approach for intracranial hemorrhage detection on non-contrast head CT.

Intracranial hemorrhage (ICH) is an emergency clinical condition that requires rapid diagnosis. In p...

Jul 2026 42412285
Magnetic Resonance Imaging-Based Artificial Intelligence in Predicting Prostate Cancer Biochemical Recurrence: Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool for prostate cancer (PCa) r...

Jul 2026 42412916
Heterogeneity, longitudinal decline, and metabolic risk in MRI-based quantification of 20 individual hip and thigh muscles.

Quantifying muscle health at scale has been limited by the difficulty of segmenting individual muscl...

Jul 2026 42414402
Quantifying cortical lesions in multiple sclerosis MRI datasets using multi-contrast post-processing and deep learning.

BACKGROUND: Multiple sclerosis (MS) is a chronic neurological disease affecting both white and gray ...

Jul 2026 42414487
High-resolution mri guided whole mouse brain neuronal cell type atlas using deep learning.

Cell types represent groups of cells with shared anatomical and functional properties. Traditional b...

Jul 2026 42414549
CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images.

Image-based machine learning tools are powerful resources for analyzing medical images, with deep le...

Jul 2026 42414617
Evolution of Facial Assessment in Aesthetic Medicine: 3D Imaging, Digital Analysis, and Patient-Reported Outcomes.

BACKGROUND: Facial assessment is central to treatment planning and outcome evaluation. Traditional a...

Jul 2026 42414647
A Systematic Review and Meta-analysis of Two-Dimensional Breast Ultrasound Radiomics: Implications for Lesion Characterization and Diagnostic Accuracy.

Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approa...

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Jul 2026 42414707
Domain Generalization Mitigates Scanner-Induced Domain Shift in Medical Imaging.

Deep learning models for medical image analysis often fail in clinical deployment due to domain shif...

Jul 2026 42414708
Radiologist Detection of Deficiencies in LLM-Generated Patient Communications About Radiology Reports: A Multi-Reader Study.

Patients increasingly use large language models (LLMs) to interpret radiology reports, yet the relia...

Jul 2026 42414715
Advanced Deep Learning Architectures in MRI-Based Brain Tumor Classification: A Systematic Review Focused on Meningiomas.

Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic reso...

Jul 2026 42414721
Pilot feasibility study of deep learning-based detection of malignant liver lesions in intraoperative ultrasound imaging.

BACKGROUND: Intraoperative ultrasound plays a central role in hepatobiliary surgery for the detectio...

Jul 2026 42414769
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