Radiology

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

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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network.

Brain tumors can cause difficulties in normal brain function and are capable of developing in variou...

Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis - a systematic review.

INTRODUCTION: Magnetic resonance imaging (MRI) is conventionally used for the detection and diagnosi...

Diagnostic accuracy of an automated classifier for the detection of pleural effusions in patients undergoing lung ultrasound.

RATIONALE: Lung ultrasound, the most precise diagnostic tool for pleural effusions, is underutilized...

TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography.

The relationship between brain connections and non-imaging phenotypes is increasingly studied using ...

Research on predicting radiographic exposure time in imaging based on neural network prediction models.

OBJECTIVE: To explore the anatomical and clinical factors that affect the radiographic exposure time...

Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images.

PURPOSE: To develop an artificial intelligence algorithm to automatically identify the anterior segm...

Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study.

The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of ves...

Pilot Study on Using Large Language Models for Educational Resource Development in Japanese Radiological Technologist Exams.

In this study, we explored the potential application of large language models (LLMs) to the developm...

Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR.

The inherent variability of lesions poses challenges in leveraging AI in 3D automated breast ultraso...

Advances in the Application of Artificial Intelligence in the Ultrasound Diagnosis of Vulnerable Carotid Atherosclerotic Plaque.

Vulnerable atherosclerotic plaque is a type of plaque that poses a significant risk of high mortalit...

AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice.

OBJECTIVES: In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitorin...

Advancements in Frank's sign Identification using deep learning on 3D brain MRI.

Frank's sign (FS) is a diagnostic marker associated with aging and various health conditions. Despit...

DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification.

In the Imbalanced Multivariate Time Series Classification (ImMTSC) task, minority-class instances ty...

VGX: VGG19-Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI).

The development of deep learning algorithms has transformed medical image analysis, especially in br...

Clinical impact of an explainable machine learning with amino acid PET imaging: application to the diagnosis of aggressive glioma.

PURPOSE: Radiomics-based machine learning (ML) models of amino acid positron emission tomography (PE...

Deep learning-based free-water correction for single-shell diffusion MRI.

Free-water elimination (FWE) modeling in diffusion magnetic resonance imaging (dMRI) is crucial for ...

Deep learning-aided diagnosis of acute abdominal aortic dissection by ultrasound images.

PURPOSE: Acute abdominal aortic dissection (AD) is a serious disease. Early detection based on ultra...

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