Latest AI and machine learning research in radiology for healthcare professionals.
The aim of this study was to show the efficacy described in the scientific literature of lung ultras...
Intracerebral haemorrhage (ICH) is a common form of stroke that affects millions of people worldwide...
Yu 's study has advanced the understanding of the neural mechanisms underlying major depressive diso...
The role of PET/CT imaging in chronic lymphoproliferative syndromes (CLL) is debated. This study ex...
The standard approach to diagnosing idiopathic pulmonary fibrosis (IPF) includes identifying the usu...
OBJECTIVE: To develop and validate a deep learning radiomics fusion model (DLR) based on ultrasound ...
To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailore...
BACKGROUND: This retrospective study evaluates the diagnostic performance of an optimized comprehens...
BACKGROUND: Thymomas, though rare, present a wide range of clinical behaviors, from indolent to aggr...
BACKGROUND: Microvascular invasion (MVI) is strongly associated with the prognosis of patients with ...
OBJECTIVE: Cortical regions such as parietal area H (PH) and the fundus of the superior temporal sul...
This study aims to investigate the feasibility of a single general model to synthesize CT images acr...
BACKGROUND: T1 mapping has become a valuable technique in cardiac magnetic resonance imaging (CMR) f...
PURPOSE: The study aimed to develop machine learning (ML) models for pretherapy prediction of absorb...
: Breast cancer is the most common malignancy among women globally, with an increasing incidence, pa...
Deep learning techniques have significantly enhanced the convenience and precision of ultrasound ima...
OBJECTIVES: This study aims to develop a deep learning algorithm for differentiating aneurysmal suba...
PURPOSE: High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and mo...
The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...
OBJECTIVES: Artifacts in clinical MRI can compromise the performance of AI models. This study evalua...
Cardiovascular imaging saw significant advancements in 2024, impacting technology, pathophysiology, ...