Latest AI and machine learning research in radiology for healthcare professionals.
This study aimed to compare the performance of deep learning image reconstruction (DLIR) and adaptiv...
PURPOSE: To evaluate the effectiveness of automated liver segmental volume quantification and calcul...
Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare complication of acute pulmonary embo...
BACKGROUND AND PURPOSE: Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan...
INTRODUCTION: At our institute, we usually perform robot-assisted surgery for rectal cancer as minim...
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtain...
OBJECTIVE: The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DL...
 The aim this study is to present the results of the minimal invasive neuroendoscopic-assisted syst...
Accurate stroke assessment and consequent favorable clinical outcomes rely on the early identificati...
OBJECTIVE: The aim of this study is to develop AI-assisted software incorporating a deep learning (D...
Fetal magnetic resonance imaging (fetal MRI) is usually performed as a second-level examination foll...
Advances in robotic technology have improved standard techniques in numerous surgical and endovascul...
AIMS: A strong association between fatty liver disease (FLD) and coronary artery disease is consiste...
PURPOSE: Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, ...
In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Lea...
OBJECTIVES: Cardiac computed tomography (CT) is essential in diagnosing coronary heart disease. Howe...
Fractional flow reserve derived from coronary CT (FFR-CT) is a noninvasive physiological technique t...
The application of artificial intelligence (AI) in the field of medicine has revolutionised various ...
In US-guided cardiac radioablation, a possible workflow includes simultaneous US and planning CT acq...
Dedicated MR imaging is highly performant for the evaluation of the primary lesion and should regula...
Segmentation of intracranial aneurysms (IAs) is an important step for the diagnosis and treatment of...