Latest AI and machine learning research in neurosurgery for healthcare professionals.
BACKGROUND: Whether primary brainstem hemorrhage (PBH) should be treated with a conservative treatme...
OBJECTIVE: In the management of the aortic aneurysm, 4D flow magnetic resonance Imaging provides val...
PURPOSE OF THE ARTICLE: Patients with penicillin allergy labels are more likely to have postoperativ...
BACKGROUND AND OBJECTIVES: Automatic segmentation of the cerebral vasculature and aneurysms facilita...
Intraoperative MRI has been increasingly used to robotically deliver electrodes and catheters into t...
BACKGROUND: The medical technical innovations over the last decade have made operations in the highl...
PURPOSE: Intracranial aneurysms are vascular deformations in the brain which are complicated to trea...
BACKGROUND: Intravenous contrast agents are routinely used in CT imaging to enable the visualization...
BACKGROUND: To compare the clinical outcomes of patients with lumbar disc herniation treated with ro...
Prediction of abdominal aortic aneurysm (AAA) growth is of essential importance for the early treatm...
Finite element methods (FEM) are popular approaches for simulation of soft tissues with elastic or v...
A flexible needle has emerged as a crucial clinical technique in contemporary medical practices, par...
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient out...
INTRODUCTION: Machine learning algorithms have received increased attention in neurosurgical literat...
Advanced radio-frequency pulse design used in magnetic resonance imaging has recently been demonstra...
BACKGROUND: Subarachnoid hemorrhage from cerebral aneurysm rupture is a major cause of morbidity and...
Robot-assisted surgery has not yet been able to establish itself for vascular surgery. However, the ...
Cranial window surgery allows for the imaging of brain tissue in live mice with the use of multiphot...
BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. P...
Over the past 10 years, minimally invasive surgery (MIS) has shown significant benefits compared to ...
PURPOSE: We evaluated the diagnostic performance of a clinically available deep learning-based compu...