Latest AI and machine learning research in radiology for healthcare professionals.
At the central workplace of the surgeon the digitalization of the operating room has particular cons...
BACKGROUND: Artificial intelligence (AI) for ultrasound scanning in regional anaesthesia is a rapidl...
Breast density, or the amount of fibroglandular tissue (FGT) relative to the overall breast volume, ...
BACKGROUND: This study aimed to establish a dedicated deep-learning model (DLM) on routine magnetic ...
The score-based generative model (SGM) has demonstrated remarkable performance in addressing challen...
Parcellation of anatomically segregated cortical and subcortical brain regions is required in diffus...
BACKGROUND: We assessed factors associated with change in radiographic teardrop angle following vola...
OBJECTIVES: Accurately acquiring and assigning different contrast-enhanced phases in computed tomogr...
Due to the increasing interest in the use of artificial intelligence (AI) algorithms in hepatocellul...
Coronary computed tomography angiography (CCTA) is an essential part of the diagnosis of chronic cor...
PURPOSE: Predicting recurrence following stereotactic body radiotherapy (SBRT) for non-small cell lu...
BACKGROUND: Breast tumor is a fatal threat to the health of women. Ultrasound (US) is a common and e...
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localiz...
Lung cancer is one of the most deadly diseases in the world. Lung cancer detection can save the pati...
Artificial Intelligence (AI) models for medical diagnosis often face challenges of generalizability ...
PURPOSE: To investigate the value of a multimodal deep learning (MDL) model based on computed tomogr...
This project addresses the global challenge of breast cancer, particularly in low-resource settings,...
PURPOSE: To develop and externally validate an automatic artificial intelligence (AI) tool for delin...
PURPOSE: Clinical risk scores are essential for predicting outcomes in stroke patients. The advancem...
Biliary tract cancers are malignant neoplasms arising from bile duct epithelial cells. They include ...
Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (...