Radiology

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

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Smartphone-based behavioral profiling for distinguishing Dementia with Lewy bodies from Alzheimer’s Disease

Dementia with Lewy bodies (DLB) is frequently misdiagnosed as Alzheimer’s disease (AD) due to overla...

From Slices to Volumes: A Scalable Pipeline for Developing General-Purpose Brain MRI Foundation Models

Foundation models exhibit a remarkable capacity in extracting subtle features from brain MRI, demons...

Creation of an Open-Access Lung Ultrasound Image Database For Deep Learning and Neural Network Applications

Lung ultrasound (LUS) offers advantages over traditional imaging for diagnosing pulmonary conditions...

Anatomy-guided, modality-agnostic segmentation of neuroimaging abnormalities

Magnetic resonance imaging (MRI) offers multiple sequences that provide complementary views of brain...

The effect of medical explanations from large language models on diagnostic decisions in radiology

Large language models (LLMs) are increasingly used by physicians for diagnostic support. A key advan...

Radiomics-Based Early Triage of Prostate Cancer: A Multicenter Study from the CHAIMELEON Project

Prostate cancer (PCa) is the most commonly diagnosed malignancy in men worldwide. Accurate triage of...

Identifying Cardiogenic Shock Sub-Phenotypes with Machine Learning: A Multicenter Study Combining Clinical and Echocardiographic Data

Sub-phenotyping cardiogenic shock (CS) patients using non-traditional clustering methods represents ...

Automated scout-image-based estimation of contrast agent dosing: a deep learning approach

We developed and tested a deep-learning-based algorithm for the approximation of contrast agent dosa...

A Standard Framework for Converting Coronary Angiography Reports into Machine-Readable Format Using Large Language Models

Coronary angiography (CAG) reports contain many details about coronary anatomy, lesion characteristi...

AI-MI: A Deep Learning Model to Predict Actionable Acute Coronary Syndrome Using 12-Lead ECGs

Chest pain is among the most common chief complaints in Emergency Departments (EDs), and differentia...

Automated detection of bottom-of-sulcus dysplasia on MRI-PET in patients with drug-resistant focal epilepsy

Bottom-of-sulcus dysplasia (BOSD) is a diagnostically challenging subtype of focal cortical dysplasi...

Artificial Intelligence enhanced R1 maps can improve lesion detection in focal epilepsy in children

MRI is critical for the detection of subtle cortical pathology in epilepsy surgery assessment. This ...

It’s All in the Details: Guiding Fine-Feature Characteristics in Artificial Medical Images using Diffusion Models

We sought to develop a diffusion model-based framework that guides both larger anatomical structures...

Neuroanatomical-Based Machine Learning Prediction of Alzheimer’s Disease Across Sex and Age

Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...

Interpretable MRI-Based Deep Learning for Alzheimer’s Risk and Progression

Timely intervention for Alzheimer’s disease (AD) requires early detection. The development of immuno...

Magnetic resonance imaging and the evaluation of vestibular schwannomas: a systematic review

The assessment of vestibular schwannoma (VS) requires a standardized measurement approach as growth ...

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