Latest AI and machine learning research in radiology for healthcare professionals.
Cystic breast lesions are commonly encountered on breast ultrasound, encompassing a spectrum from si...
Indirect immunofluorescence (IIF) staining imaging on human epithelial cell (HEp-2) is a standard te...
OBJECTIVES: Spread through air space (STAS) is a pathological feature that correlates with poor prog...
BACKGROUND: Routine noncardiac computed tomography (CT) imaging may contain information about cardio...
Breast tumor is the most commonly detected tumors and remain one of the leading causes of cancer-rel...
Magnetic resonance imaging (MRI) is essential in the accurate diagnosis of brain tumors so that soun...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a predictive model integrating cl...
Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been...
Purpose To develop and validate an anatomy-aware, two-stage, end-to-end deep learning (DL) pipeline ...
Accurate segmentation of brain tumors in magnetic resonance imaging (MRI) is essential for diagnosis...
INTRODUCTION: Preoperative 2D digital templating aids surgical planning in total hip arthroplasty (T...
Accurate segmentation of anatomical structures in ultrasound (US) images, particularly small ones, i...
High-resolution Magnetic Resonance Imaging (MRI) plays an important role in clinical diagnosis and p...
OBJECTIVES: This study conducted a natural language processing feasibility analysis aimed at compari...
BACKGROUND: Accurate localization of the midsagittal plane (MSP) is essential for evaluating midline...
Severely brain-injured patients may enter a spectrum of conditions collectively known as disorders o...
BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), ...
Polymyalgia rheumatica (PMR) is a common immune-mediated inflammatory disease affecting older adults...
Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (...
Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4...
PURPOSE: Machine learning-based coronary computed tomography fractional flow reserve (CT-FFR) holds ...