Latest AI and machine learning research in radiology for healthcare professionals.
Ischemic stroke is the most common type of stroke, ranked as the second leading cause of death world...
Contrast-enhanced MR angiography (MRA) is a critical technique for vascular imaging. Nevertheless, t...
Quantitative ultrasound (QUS) aims to reveal information about the tissue microstructure using backs...
Ultrasound localization microscopy (ULM) is an emerging vascular imaging technique that overcomes th...
Ultrafast ultrasound imaging based on plane wave (PW) compounding has been proposed for use in vario...
PURPOSE: Positron emission tomography (PET)/ computed tomography (CT) has been extensively used to q...
Contrast-enhanced spectral mammography (CESM) is a relatively recent imaging modality with increased...
Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and...
Background Artificial intelligence (AI) has shown promising results for cancer detection with mammog...
To develop and validate a deep convolutional neural network (CNN) method capable of selecting the gr...
PURPOSE: We evaluated the impact of PET respiratory motion correction (MoCo) in a phantom and patien...
PURPOSE: Optical coherence tomography angiography (OCTA) is a premium imaging modality for noninvasi...
OBJECTIVE: To examine whether the machine-learning approach using 18-fludeoxyglucose positron emissi...
In recent years, the use of deep learning-based models for developing advanced healthcare systems ha...
In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial i...
This research was aimed investigate the application value and diagnostic effect of dark-lumen magne...
Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and neuro-oncol...
The study aimed to explore the risk factors of effects of patients with vascular mild cognitive impa...
This review gives an overview of the current state of deep learning research in breast cancer imagin...
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whe...
OBJECTIVES: The objective of this study was to develop and validate a state-of-the-art, deep learnin...