Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: This study conducts a comprehensive bibliometric analysis regarding the application of ultr...
Fibromuscular dysplasia (FMD) is a non-atherosclerotic vascular disorder with heterogeneous presenta...
The aim of the study was to evaluate the concordance between radiological imaging modalities and pat...
OBJECTIVE: To develop machine-learning models that incorporate clinical information and radiomics fe...
Artificial intelligence (AI) is reshaping cardiovascular imaging, transforming it from a set of diag...
Percutaneous nephrostomy is widely used in kidney access surgeries. Despite its prevalence in urolog...
OBJECTIVE: To examine the association between body composition metrics derived from preprocedural co...
PURPOSE OF REVIEW: The development of digital solutions has a direct impact on the modern understand...
Various Magnetic Resonance Imaging modalities were developed to explore the brain. Among them, funct...
PURPOSE: To assess the impact of deep learning (DL)-based image reconstruction on quantitative and s...
The integration of artificial intelligence (AI) into breast cancer management presents transformativ...
The aim of this study was to evaluate the performance of an artificial intelligence (AI)-based metho...
Ki-67 expression, a critical biomarker for tumor aggressiveness and proliferation in invasive breast...
We developed and externally validated a deep learning model to automatically detect new ischemic les...
Dynamic contrast-enhanced (DCE) breast MRI is a highly sensitive modality for detecting breast cance...
OBJECTIVES: To evaluate the accuracy of CT-derived fat fraction (CDFF) software for quantifying hepa...
BACKGROUND: Accurate assessment of left ventricular ejection fraction (LVEF) is crucial for heart fa...
OBJECTIVES: To evaluate the diagnostic value of a machine learning (ML) model based on multi-modal u...
The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a ...
OBJECTIVE: To report longitudinal intra-patient changes in CT-based body composition using fully aut...
Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiolog...