Latest AI and machine learning research in radiology for healthcare professionals.
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...
OBJECTIVES: Bone marrow involvement (BMI) upstages lymphoma and influences prognosis and treatment. ...
BACKGROUND: MRI-detected bone marrow oedema in sacroiliac joints is central to diagnosing axial spon...
OBJECTIVE: Mild cognitive impairment (MCI) is an intermediary stage between typical cognitive aging ...
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...
BACKGROUND: Automatic segmentation of gliomas on amino acid PET is essential for quantitative tumor ...
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...
Accurate disease prognosis is essential for patient care but is often hindered by the scarcity of lo...
INTRODUCTION: Currently, there are many diagnostic strategies for in-stent restenosis (ISR) used cli...