Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Varicocele (VC) grading has long relied on qualitative assessments of venous diameter an...
PURPOSE: To develop a deep learning model for the automated detection and measurement of gallstones ...
Cardiovascular disease (CVD) remains the leading global cause of mortality, with timely diagnosis an...
BACKGROUND: Rapid identification of anterior circulation large vessel occlusions (LVOs) is critical ...
To develop and rigorously validate a deep learning framework for CT-free positron emission tomograph...
PURPOSE: The purpose of this study was to compare the image quality and lesion detection between ult...
OBJECTIVE: The purpose of this work is to develop a data-driven framework for real-time prediction o...
BACKGROUND: Deep learning (DL)-assisted low-dose computed tomography (LDCT) may improve lung cancer ...
β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, tran...
BACKGROUND: Respiratory motion artifacts degrade PET/computed tomography (PET/CT) image quality. Dat...
France has seen significant advancements in radiology in recent years, driven by innovations in rese...
PURPOSE: Efficient and reliable magnetic resonance imaging (MRI)-based diagnosis of early avascular ...
Sex-related disparities persist in the diagnosis and management of ischemic heart disease (IHD), rai...
BACKGROUND: Multimodal large language models (MLLMs) have emerging potential for interpreting medica...
BACKGROUND: Prostate cancer imaging is inherently multimodal, yet many AI tools remain single-modali...
OBJECTIVES: To evaluate the zero-shot capabilities of a multimodal deep learning model (Gemini 3.0) ...
PURPOSE: To evaluate the association between baseline optical coherence tomography (OCT) biomarkers ...
Neuroblastoma is the most common extracranial solid tumor in children, with risk stratification guid...
Myocarditis is an inflammatory disease of the myocardium with diverse aetiologies, ranging from infe...
BACKGROUND: Transthoracic echocardiography (TTE) is the most commonly performed cardiac imaging moda...
OBJECTIVES: The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) improves risk ...