Neurosurgery

A real-world evaluation of the diagnostic accuracy of radiologists using positive predictive values verified from deep learning and natural language processing chest algorithms deployed retrospectively.

OBJECTIVES: This diagnostic study assessed the accuracy of radiologists retrospectively, using the d...

Interactive Multi-Stage Robotic Positioner for Intra-Operative MRI-Guided Stereotactic Neurosurgery.

Magnetic resonance imaging (MRI) demonstrates clear advantages over other imaging modalities in neur...

Predicting incomplete occlusion of intracranial aneurysms treated with flow diverters using machine learning models.

OBJECTIVE: Intracranial saccular aneurysms are vascular malformations responsible for 80% of nontrau...

CT analysis of aortic calcifications to predict abdominal aortic aneurysm rupture.

BACKGROUND: Abdominal aortic aneurysm (AAA) rupture prediction based on sex and diameter could be im...

Machine learning algorithms for the prognostication of abdominal aortic aneurysm progression: a systematic review.

INTRODUCTION: Abdominal aortic aneurysm (AAA), often characterized by an abdominal aortic diameter o...

Octopus-Inspired Muscular Hydrostats Powered By Twisted and Coiled Artificial Muscles.

Traditional robots are characterized by rigid structures, which restrict their range of motion and t...

Artificial Intelligence-Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair.

PURPOSE: Artificial intelligence (AI) using an automated, deep learning-based method, Augmented Radi...

PINK1 dominated mitochondria associated genes signature predicts abdominal aortic aneurysm with metabolic syndrome.

Abdominal aortic aneurysm (AAA) is typically asymptomatic but a devastating cardiovascular disorder,...

Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection.

Early detection of unruptured intracranial aneurysms (UIAs) enables better rupture risk and preventa...

Microsurgery Robots: Applications, Design, and Development.

Microsurgical techniques have been widely utilized in various surgical specialties, such as ophthalm...

Machine Learning and Omics Analysis in Aortic Aneurysm.

Aortic aneurysm is a life-threatening condition and mechanisms underlying its formation and progress...

Investigation of the mechanism of action of deep brain stimulation for the treatment of Parkinson's disease.

Parkinson's disease (PD) is a severe, progressive, neurological disorder. PD is not a single disease...

Beyond Aortic Diameter for the Management of Thoracic Aortic Aneurysm: Multidimensional Data for Multidisciplinary Discussion.

Thoracic Aortic Aneurysm Risk Assessment: A Machine Learning Approach.

BACKGROUND: Traditional methods of risk assessment for thoracic aortic aneurysm (TAA) based on aneur...

Using robotics to move a neurosurgeon's hands to the tip of their endoscope.

A major advantage of surgical robots is that they can reduce the invasiveness of a procedure by enab...

A state-of-the-art review on deep learning for estimating eloquent cortex from resting-state fMRI.

Deep learning algorithms have greatly improved our ability to estimate eloquent cortex regions from ...

A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning.

Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when i...

Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software.

PURPOSE: To compare the diagnostic performance of 1.5 T versus 3 T magnetic resonance angiography (M...

Neuroendoscopy-Assisted Minimal Invasive Management of Chiari 1 Malformation.

 The aim this study is to present the results of the minimal invasive neuroendoscopic-assisted syst...

Robotic Interventional Neuroradiology: Progress, Challenges, and Future Prospects.

Advances in robotic technology have improved standard techniques in numerous surgical and endovascul...

A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques.

The risk of discovering an intracranial aneurysm during the initial screening and follow-up screenin...