Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To characterize the etiology and clinical course of patients with subcapsular renal hematom...
PURPOSE: Transarterial chemoembolization (TACE) is standard therapy for intermediate-stage hepatocel...
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet t...
PURPOSE: Amyloid (A) deposition represents a specific pathological hallmark of Alzheimer's disease (...
BACKGROUND: Developmental dysplasia of the hip (DDH) is among the most common musculoskeletal disord...
Visceral adiposity has been implicated in metabolic dysregulation and chronic inflammation, both of ...
BACKGROUND: Accurate prediction of treatment response in Hodgkin lymphoma (HL) is crucial for person...
With the rapid development of artificial intelligence and medical image analysis, MRI-based automate...
OBJECTIVES: In temporomandibular joint osteoarthritis, condylar erosion is considered a sign of dise...
Metasurfaces resolve limited signal-to-noise ratio (SNR) and radio frequency (RF) inhomogeneity bott...
Coronary artery stenosis is a leading cause of cardiovascular disease, diagnosed by analyzing the co...
STATEMENT OF PROBLEM: Dental-dedicated magnetic resonance imaging (ddMRI) represents a radiation fre...
Ovarian cancer, with high mortality, demands accurate preoperative assessment to guide individualize...
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed nonalcoholic fat...
We previously proposed an MRI-based machine learning model to describe the mesoscopic architecture o...
Depression is considered a psychological illness, and the effects of depression are persistent sadne...
Polyethylene terephthalate microplastics (PET-MPs), as environmental contaminants, have raised signi...
OBJECT: To explore the prediction of the efficacy of bevacizumab (BEV) in treating peritumoral brain...
OBJECTIVE: Artificial Intelligence-based radiomics models for thyroid ultrasound (US) often lack int...
PURPOSE: To evaluate whether deep learning reconstruction (DLR) improves chest magnetic resonance im...
OBJECTIVE: This study aims to explore the relationship between MRI structural morphotypes and interm...