Radiology

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

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Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma vi...

Deep learning-based automated segmentation for the quantitative diagnosis of cerebral small vessel disease via multisequence MRI.

OBJECTIVE: Existing visual scoring systems for cerebral small vessel disease (CSVD) cannot assess th...

A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts.

Creating a dataset for training supervised machine learning algorithms can be a demanding task. This...

Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Cur...

A Narrative Review of Artificial Intelligence in MRI-Guided Prostate Cancer Diagnosis: Addressing Key Challenges.

: Magnetic resonance imaging (MRI) is crucial in detecting suspicious lesions and diagnosing clinica...

Computational Risk Stratification of Preclinical Alzheimer's in Younger Adults.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that often begins decades befo...

Biparametric Prostate MRI: A Practical Approach to Implementation and Comparative Analysis.

Prostate cancer (PCa) remains a leading cause of cancer-related morbidity and mortality among men wo...

Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions?

BACKGROUND: Data regarding the diagnostic efficacy of radial endobronchial ultrasound (R-EBUS) findi...

Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valv...

Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features.

BACKGROUND: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant ...

Impact of contrast-enhanced agent on segmentation using a deep learning-based software "Ai-Seg" for head and neck cancer.

OBJECTIVES: In radiotherapy, auto-segmentation tools using deep learning assist in contouring organs...

Does Machine Learning Prediction of Magnetic Resonance Imaging PI-RADS Correlate with Target Prostate Biopsy Results?

OBJECTIVES: This study aimed to predict and classify MRI PI-RADs scores using different machine lear...

Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images.

PURPOSE: Accurate patient dosimetry estimates from fluoroscopically-guided interventions (FGIs) are ...

Applications of artificial intelligence in abdominal imaging.

The rapid advancements in artificial intelligence (AI) carry the promise to reshape abdominal imagin...

Research-based clinical deployment of artificial intelligence algorithm for prostate MRI.

PURPOSE: A critical limitation to deployment and utilization of Artificial Intelligence (AI) algorit...

Optimizing MRI sequence classification performance: insights from domain shift analysis.

BACKGROUND: MRI sequence classification becomes challenging in multicenter studies due to variabilit...

The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention.

Recent advancements in computed tomography have significantly transformed the clinical application o...

Recent advances and educational strategies in diagnostic imaging for temporomandibular disorders: a narrative literature review.

INTRODUCTION: Temporomandibular disorders (TMD) are a group of orofacial conditions characterized by...

AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights.

Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (ST...

MobNas ensembled model for breast cancer prediction.

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosi...

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