Latest AI and machine learning research in radiology for healthcare professionals.
The emerging concept of "Green Radiology" aims to mitigate the environmental impact of medical imagi...
Climate change is an important public health challenge, and healthcare itself contributes to greenho...
To assess the value of convolutional neural network (CNN)-based denoising for the evaluation of non-...
Background and purpose Artificial intelligence (AI)-based tools for CT angiography (CTA) have been i...
OBJECTIVE: Develop a multimodal model based on ultrasound (US) and dynamic contrast-enhanced magneti...
Physics-based musculoskeletal models are often used to understand complex systems, like the human ha...
Splenic diseases in dogs and cats present significant diagnostic challenges, particularly in differe...
BACKGROUND: Sustained attention requires continuous engagement and is sensitive to individual differ...
Structural lesions, including erosions, sclerosis, and pathological new bone formation, are key feat...
PURPOSE: Developing a deep learning model to simultaneously evaluate lymph node status and distingui...
OBJECTIVES: This study aimed to develop a clinical-radiomics model based on T2-weighted imaging (T2W...
Microvascular invasion (MVI) is a key prognostic factor in hepatocellular carcinoma but is currently...
We describe a publicly available, large, annotated dataset of 597 whole-body Positron Emission Tomog...
Timely identification of children with ileocolic intussusception likely to fail air-enema reduction ...
Efficient trauma assessment is essential for optimal patient care, with imaging playing a critical r...
Frontier artificial intelligence (AI) models have advanced rapidly through training on internet-scal...
BACKGROUND: Incidental gallbladder cancer (IGBC) is often diagnosed only during or after cholecystec...
Cementless total knee arthroplasty (TKA) has regained attention in younger, active, and obese patien...
Heart failure remains a major driver of hospitalization, morbidity, impaired quality of life, and he...
Nuclear reactor accidents can result in prolonged radiation exposure with complex and uncertain heal...
OBJECTIVE: Parallel magnetic resonance imaging (pMRI) with Cartesian equispaced undersampling accele...