Latest AI and machine learning research in radiology for healthcare professionals.
Image noise and motion artifacts greatly affect the quality of brain magnetic resonance imaging (MRI...
BACKGROUND: Cerebral blood flow (CBF) imaging can be performed using SPECT with 123I-IMP; however, i...
Bone metastasis, a frequent complication of advanced cancers, requires early, precise detection to e...
PURPOSE: To evaluate whether the difference between artificial intelligence (AI)-estimated retinal b...
OBJECTIVE: To train and validate a deep learning-based diagnostic tool capable of accurately segment...
OBJECTIVE: We aimed to develop and internally validate a radiomics classification model based on mul...
OBJECTIVE: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T...
OBJECTIVE: The aim of this study was to investigate the diagnostic performance of the 2.5-dimensiona...
RATIONALE AND OBJECTIVES: Large language models (LLMs) are increasingly investigated in radiology ed...
BACKGROUND: Sex-related differences in coronary artery disease (CAD) burden and outcomes are increas...
BACKGROUND: Deep learning (DL) has enabled advances in ultrasound imaging, but challenges like limit...
BACKGROUND: The anterolateral thigh (ALT) flap is widely used for head and neck reconstruction becau...
PURPOSE: To propose a spatio-temporal U-Net based network (4DST) that exploits both spatial and dyna...
PURPOSE: This work proposes a novel self-supervised noise-adaptive image denoising framework, called...
PURPOSE: Accurate grading of prostate cancer is critical for treatment strategies and risk stratific...
OBJECTIVES: 1. To develop a deep-learning segmentation model for automated measurement of maximal ao...
Digital twin technology, which enables the creation of patient-specific virtual models, is increasin...
PURPOSE: Glucose homeostasis relies on coordinated interactions among multiple organs, and its disru...
RATIONALE AND OBJECTIVES: To assess the impact of a deep learning-based noise reduction (DLD) techni...
Dynamic contrast-enhanced MRI (DCE-MRI) is common technique for assessing tissue perfusion and perme...
BACKGROUND: Accurate risk stratification for overall survival (OS) in patients with oropharyngeal sq...