Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: Intestinal ultrasound (IUS) is used to assess and monitor inflammatory bowel disease (IBD)....
BACKGROUND AND PURPOSE: IDH mutation & 1p/19q codeletion are critical biomarkers for glioma diagnosi...
Adnexal cystic torsion is a gynecological emergency that requires prompt and accurate diagnosis foll...
BACKGROUND: The expansion of digitalization in the pre-, intra- and post-operative surgical phases a...
OBJECTIVE: To develop and validate a prognostic nomogram for predicting progression-free survival (P...
BACKGROUND: The integration of artificial intelligence (AI) into reproductive medicine and gynecolog...
RATIONALE AND OBJECTIVES: To evaluate whether large language models (LLMs) can generate accurate, cl...
BackgroundIntraoperative consultation using frozen sections has been crucial for guiding surgical de...
BACKGROUND: Automatic segmentation of gliomas on amino acid PET is essential for quantitative tumor ...
Radiology is often portrayed as the medical specialty most vulnerable to replacement by artificial i...
Background. Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning...
INTRODUCTION: Artificial intelligence (AI) is reshaping diagnostic paradigms across oncology. In oph...
INTRODUCTION: This study aimed to identify optical coherence tomography (OCT) biomarkers at baseline...
OBJECTIVES: To develop a deep learning-based multimodal framework for automated segmentation of orbi...
OBJECTIVE: To enhance the diagnostic utility of 4D flow MRI in assessing cerebrospinal fluid (CSF) d...
This invited commentary grew out of a presentation made at the 2025 ConRad Meeting in Munich, German...
Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a ...
Positron emission tomography (PET) has been used in pediatric oncology since the modality gained tra...
OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) r...
BACKGROUND: Late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) is regarded a...
A prospective observational cohort study. To determine whether machine learning models using radiomi...