Radiology

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

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Machine Learning-Based Meningioma Location Classification Using Vision Transformers and Transfer Learning

In this study, we aimed to use advanced machine learning (ML) techniques, specifically transfer lear...

The HeartMagic prospective observational study protocol – characterizing subtypes of heart failure with preserved ejection fraction

Heart failure (HF) is a life-threatening syndrome with significant morbidity and mortality. While ev...

Compartment-specific Fat Distribution Profiles have Distinct Relationships with Cardiovascular Ageing and Future Cardiovascular Events

Obesity is a global public health priority and a major risk factor for cardiovascular disease (CVD)....

Multimodal Machine Learning for Diagnosis of Multiple Sclerosis Using Optical Coherence Tomography in Pediatric Cases

Identifying MS in children early and distinguishing it from other neuroinflammatory conditions of ch...

Automated Deep Learning-Based Detection of Early Atherosclerotic Plaques in Carotid Ultrasound Imaging

Carotid plaque presence is associated with cardiovascular risk, even among asymptomatic individuals....

Toward Reliable Thalamic Segmentation: a rigorous evaluation of automated methods for structural MRI

Automated thalamic nuclear segmentation has contributed towards a shift in neuroimaging analyses fro...

Robust Disease Prognosis via Diagnostic Knowledge Preservation: A Sequential Learning Approach

Accurate disease prognosis is essential for patient care but is often hindered by the lack of long-t...

RAX-NET: Residual Attention Xception Network for Brain Ischemic Stroke Segmentation in T1-Weighted MRI

Ischemic stroke, caused by arterial occlusion, leads to hypoxia and cellular necrosis. Rapid and acc...

Predicting Future Brain Atrophy Based on Longitudinal MRI

Neuron loss is a key feature of neurodegenerative diseases often leading to brain atrophy detectable...

Leveraging fMRI non-stationarity for deep learning classifier training and feature detection to improve schizophrenia diagnosis

A neurobiologically-based diagnosis with superior reliability in place of clinical interview-based d...

Development and Validation of a Machine Learning Model That Uses Voice to Predict Aspiration Risk

Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside evaluations of...

Combined High-Resolution MRSI and [18F]-FACBC PET to Improve the Presurgical Diagnostic Accuracy in Gliomas

Medical imaging is crucial for glioma management. Combined with MRI, amino acid PET may improve glio...

Cerebrospinal fluid proteomics for predictive assessment of Alzheimer’s Disease risk

Alzheimer’s disease (AD) involves early molecular changes beyond amyloid-β (Aβ) and tau, that create...

Large language models in radiologic numerical tasks: A thorough evaluation and error analysis

To investigate the performance of LLMs in radiology numerical tasks and perform a comprehensive erro...

Morphological and Functional Alterations in Type 2 Diabetes Pancreata assessed with MRI-based metrics and [18F]FP-(+)-DTBZ PET

To determine if combining PET-derived beta-cell mass (BCM) estimates with MRI- based morphology metr...

Multimodal AI for Precision Preventive Cardiology

Coronary artery disease (CAD) is the leading cause of death worldwide, yet it is highly preventable....

Multi-View Echocardiographic Embedding for Accessible AI Development

Echocardiography serves as a cornerstone of cardiovascular diagnostics through multiple standardized...

A foundation transformer model with self-supervised learning for ECG-based assessment of cardiac and coronary function

The wide availability of labeled electrocardiogram (ECG) data has driven major advances in artificia...

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