Radiology

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

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Artificial intelligence medical image-aided diagnosis system for risk assessment of adjacent segment degeneration after lumbar fusion surgery.

The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focu...

Jun 2025 40216256
AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes.

The performance and long-term health of athletes are significantly influenced by their cardiovascula...

Jun 2025 40216258
Review and reflections on live AI mammographic screen reading in a large UK NHS breast screening unit.

UNLABELLED: The Radiology team from a large Breast Screening Unit in the UK with a screening populat...

Jun 2025 40222163
A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging.

Sparse arrays offer several advantages over other element reduction techniques for 3-D ultrasound im...

Jun 2025 40232912
ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images.

OBJECTIVE: Considering the radiation hazard of X-ray, safer, more convenient and cost-effective ultr...

Jun 2025 40258407
High-Performance Computing-Based Brain Tumor Detection Using Parallel Quantum Dilated Convolutional Neural Network.

In the healthcare field, brain tumor causes irregular development of cells in the brain. One of the ...

Jun 2025 40258606
A CT-free deep-learning-based attenuation and scatter correction for copper-64 PET in different time-point scans.

This study aimed to develop and evaluate a deep-learning model for attenuation and scatter correctio...

Jun 2025 40261572
Deep Learning to Localize Photoacoustic Sources in Three Dimensions: Theory and Implementation.

Surgical tool tip localization and tracking are essential components of surgical and interventional ...

Jun 2025 40261767
FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesis.

The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in mod...

Jun 2025 40267535
Myo-Guide: A Machine Learning-Based Web Application for Neuromuscular Disease Diagnosis With MRI.

BACKGROUND: Neuromuscular diseases (NMDs) are rare disorders characterized by progressive muscle fib...

Jun 2025 40275674
Deep learning for multiple sclerosis lesion classification and stratification using MRI.

BACKGROUND AND OBJECTIVE: Multiple sclerosis (MS) is a chronic neurological disease characterized by...

Jun 2025 40279977
DeepValve: The first automatic detection pipeline for the mitral valve in Cardiac Magnetic Resonance imaging.

Mitral valve (MV) assessment is key to diagnosing valvular disease and to addressing its serious dow...

Jun 2025 40311468
Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data.

OBJECTIVES: Multiplexed Positron Emission Tomography (PET) imaging allows simultaneous acquisition o...

Jun 2025 40316225
Deep learning-based MRI reconstruction with Artificial Fourier Transform Network (AFTNet).

Deep complex-valued neural networks (CVNNs) provide a powerful way to leverage complex number operat...

Jun 2025 40328027
[Applications of artificial intelligence in cardiovascular imaging: advantages, limitations, and future challenges].

Artificial intelligence (AI) is rapidly transforming cardiovascular imaging, offering innovative sol...

Jun 2025 40432458
3-D contour-aware U-Net for efficient rectal tumor segmentation in magnetic resonance imaging.

Magnetic resonance imaging (MRI), as a non-invasive detection method, is crucial for the clinical di...

Jun 2025 40436516
Automated whole-breast ultrasound tumor diagnosis using attention-inception network.

PURPOSE: Automated Whole-Breast Ultrasound (ABUS) has been widely used as an important tool in breas...

Jun 2025 40373703
Predicting long-term patency of radiocephalic arteriovenous fistulas with machine learning and the PREDICT-AVF web app.

The goal of this study was to expand our previously created prediction tool (PREDICT-AVF) and web ap...

Jun 2025 40451853
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