Latest AI and machine learning research in radiology for healthcare professionals.
This study aims to develop and validate a multi-feature integrated imaging fusion (MIIF) model, inco...
To identify novel diagnostic biomarkers for acute pancreatitis (AP) and facilitate the early predict...
[18F] fluorodeoxyglucose positron emission tomography - computed tomography (FDG PET-CT) is increasi...
Machine learning (ML), particularly deep learning (DL) and radiomics-based approaches, has emerged a...
BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblast...
BACKGROUND: Rotator cuff tears (RCTs) are a leading cause of shoulder pain. Magnetic resonance imagi...
BACKGROUND: Upper-airway morphology changes during breathing can be captured with cine 4D MRI. Activ...
RATIONALE AND OBJECTIVES: With the emergence of disease-modifying therapies, precise staging of deme...
INTRODUCTION: The rapid expansion in endovascular techniques has placed vascular surgeons among thos...
Handheld ultrasound (HHUS) is indispensable for breast cancer screening but remains compromised by o...
Accurate analysis of tumor morphology, vascularity, and tissue stiffness under multimodal ultrasound...
Interstitial lung disease (ILD) represents a wide variety of lung diseases, commonly resulting in ir...
BACKGROUND: Quantitative MRI markers increasingly complement conventional clinical assessment in mul...
In oncology practice, response assessment of metastatic disease requires reliable and reproducible q...
Strabismus, affecting ~4% of children, impairs vision and psychosocial health. However, clinical dia...
OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensio...
BACKGROUND: Current risk prediction models for ischemic heart disease in clinical use are relatively...
AIMS: Lipoprotein(a) [Lp(a)] is an inherited cardiovascular risk factor. However, its association wi...
PURPOSE: Predicting treatment response in patients with colorectal cancer liver metastases (CRCLM) w...
OBJECTIVE: To evaluate supervised machine learning (ML) models for classifying temporomandibular joi...
An accurate and precise normalization procedure is essential to correct for variations in detect...