Radiology

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

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Neuroquantification enhances the radiological evaluation of term neonatal hypoxic-ischaemic cerebral injuries.

BACKGROUND: Injury patterns in hypoxic-ischaemic brain injury (HIBI) are well recognised but there a...

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources.

Rapid technological advances have transformed medical education, particularly in radiology, which de...

Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging.

This review article highlights the potential of integrating photon-counting computed tomography (CT)...

Synthetic Knee MRI T Maps as an Avenue for Clinical Translation of Quantitative Osteoarthritis Biomarkers.

A 2D U-Net was trained to generate synthetic T maps from T maps for knee MRI to explore the feasibil...

Ultrasound robotics for precision therapy.

In recent years, the application of microrobots in precision therapy has gained significant attentio...

Tailored Intraoperative MRI Strategies in High-Grade Glioma Surgery: A Machine Learning-Based Radiomics Model Highlights Selective Benefits.

BACKGROUND AND OBJECTIVES: In high-grade glioma (HGG) surgery, intraoperative MRI (iMRI) has traditi...

Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics.

Bone age assessment (BAA) is a crucial task in clinical, forensic, and athletic fields. Since tradit...

Artificial intelligence-enabled ophthalmoscopy for papilledema: a systematic review protocol.

Papilledema is a pathology delineated by the swelling of the optic disc secondary to raised intracra...

Optical imaging for screening and early cancer diagnosis in low-resource settings.

Low-cost optical imaging technologies have the potential to reduce inequalities in healthcare by imp...

A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical l...

Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018.

Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic W...

CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.

BACKGROUND AND OBJECTIVE: The standard non-invasive imaging technique used to assess the severity an...

Deep learning for [F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis.

BACKGROUND: The rising global cancer burden has led to an increasing demand for imaging tests such a...

Exploring the potential of Physics-Informed Neural Networks to extract vascularization data from DCE-MRI in the presence of diffusion.

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used to assess tissue vascu...

Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network.

BACKGROUND AND OBJECTIVES: This study compares the clinical properties of original breast ultrasound...

Assessing ChatGPT's Proficiency in Simplifying Radiological Reports for Healthcare Professionals and Patients.

Background Clear communication of radiological findings is crucial for effective healthcare decision...

Preterm Birth: Screening and Prediction.

Preterm birth (PTB) affects approximately 10% of births globally each year and is the most significa...

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