Radiology

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

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Leveraging Deep Learning to Enhance MRI for Brain Disorders

The limited availability and high cost of 7 Tesla (7T) structural MRI hinder its widespread applicat...

NTDscope: A multi-contrast portable microscope for disease diagnosis

Accurate diagnostics are essential for disease control and elimination efforts. However, access to d...

A CNN Autoencoder for Learning Latent Disc Geometry from Segmented Lumbar Spine MRI

Low back pain is the world’s leading cause of disability and pathology of the lumbar intervertebral ...

Implementing a Resource-Light and Low-Code Large Language Model System for Information Extraction from Mammography Reports: A Case Study

Large Language Models (LLMs) have been successfully used to extract structured data from free-text r...

Deep Learning Cerebellar Magnetic Resonance Imaging Segmentation in Late-Onset GM2 Gangliosidosis: Implications for Phenotype

Late-onset Tay-Sachs (LOTS) disease and late-onset Sandhoff disease (LOSD) have long been considered...

Limited Echocardiogram Acquisition by Clinicians Aided with Deep Learning: A Randomized Controlled Trial

Deep learning (DL) programs can aid in the acquisition of echocardiograms by medical professionals n...

Evaluating Large Language Model-Generated Brain MRI Protocols: Performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72B

To evaluate the potential of LLMs to generate sequence-level brain MRI protocols. A dataset of 150 b...

Deep-learning Segmentation of Pediatric Brain Tumors using Ratio Maps of T1w/T2w MRI Signal Intensity

T1w/T2w ratio mapping, combining voxel-wise signal intensities in T1-weighted (T1w) and T2-weighted ...

PanEcho: Complete AI-enabled echocardiography interpretation with multi-task deep learning

Echocardiography is a cornerstone of cardiovascular care but relies on expert interpretation and man...

Artificial Intelligence in Neuro-Oncology: Assessing ChatGPT’s Accuracy in MRI Interpretation and Treatment Advice

Large language models (LLMs) have demonstrated advanced capabilities in interpreting text and visual...

AI vs. Traditional ultrasound study in Congenital Heart Defect Detection: A Systematic review

Prenatal detection rates for CHD have increased with improved ultrasound technology and imaging, the...

MRI2PET: Realistic PET Image Synthesis from MRI for Automated Inference of Brain Atrophy and Alzheimer’s

Positron Emission Tomography (PET) scans are a crucial tool in the diagnosing and monitoring of a nu...

Robust radiomic signatures of intervertebral disc degeneration from MRI

Low back pain (LBP) is the most common musculoskeletal symptom worldwide and intervertebral disc (IV...

Sex-based differences in imaging-derived body composition and their association with clinical malnutrition in abdominal surgery patients

Malnutrition significantly impacts surgical outcomes yet is difficult to identify preoperatively. Fe...

A Novel Swarm Intelligence-Driven Feature Selection for Interpretable Machine Learning in GBM Overall Survival Analysis

In this study, we develop and validate an interpretable machine learning (ML) model that integrates ...

Independent Evaluation of Deep Learning Models for Detecting Focal Cortical Dysplasia

The objective of this study is to perform an independent assessment of the diagnostic utility of thr...

An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature

This dataset provides the first annotated, openly available MRI-based imaging dataset for investigat...

Reliable Radiologic Skeletal Muscle Area Assessment – A Biomarker for Cancer Cachexia Diagnosis

Cancer cachexia is a common metabolic disorder characterized by severe muscle atrophy which is assoc...

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