Latest AI and machine learning research in radiology for healthcare professionals.
Lycium barbarum L. (L. barbarum) is renowned worldwide for its nutritional and medicinal benefits. R...
We aim to provide an overview of technical and clinical unmet needs in deep learning (DL) applicatio...
This paper presents an artificial intelligence-based classification model for the detection of pulmo...
Recent technological advancements have revolutionized routine brain magnetic resonance imaging (MRI)...
This study aims to develop an ensemble learning (EL) method based on magnetic resonance (MR) radiomi...
BACKGROUND: There is a broad interest in deploying deep learning-based classification algorithms to ...
INTRODUCTION: We propose a novel approach for the non-invasive quantification of dynamic PET imaging...
To investigate quantitative associations between AI-assessed disease activity and optical coherence ...
BACKGROUND: Non-Alcoholic Steatohepatitis (NASH) is a crucial stage in the progression of Non-Alcoho...
Sarcopenia has been recognized as a determining factor in surgical outcomes and is associated with ...
BACKGROUND: Digital subtraction angiography (DSA) devices are commonly used in numerous intervention...
BACKGROUND: Artificial intelligence (AI) models have been applied in various medical imaging modalit...
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain ima...
The aim of this study was to develop a medical imaging and comprehensive stacked learning-based meth...
Uterine fibroids are common benign tumors originating from the uterus's smooth muscle layer, often l...
Reporting standards are essential to health research as they improve accuracy and transparency. Over...
Medical image classification (IC) is a method for categorizing images according to the appropriate p...
BACKGROUND: Reduced bone density is recognized as a predictor for potential complications in reverse...
Magnetic resonance-guided focused ultrasound surgery (MRgFUS) thalamotomy is an emerging technique f...
Intracranial vessel wall imaging (VWI), which requires both high spatial resolution and high signal-...
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the...