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Neurosurgery

Latest AI and machine learning research in neurosurgery for healthcare professionals.

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Machine learning modeling for predicting hospital readmission following lumbar laminectomy.

In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed pre...

Use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological considerations.

Use of algorithms to generate synthetic cases might result in a misrepresentation of the entire popu...

Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms.

Purpose To develop and evaluate a supportive algorithm using deep learning for detecting cerebral an...

A Cascaded Deep Convolutional Neural Network for Joint Segmentation and Genotype Prediction of Brainstem Gliomas.

GOAL: Automatic segmentation of brainstem gliomas and prediction of genotype (H3 K27M) mutation stat...

Heart Rate Estimated from Body Movements at Six Degrees of Freedom by Convolutional Neural Networks.

Cardiac activity has been monitored continuously in daily life by virtue of advanced medical instrum...

The inhibitory effect of functional lesions on eloquent brain areas: from research bench to operating bed.

Functioning, but injured cerebral connections are hypothesized to inhibit cortical plasticity. Stud...

Machine learning-aided exploration of relationship between strength and elastic properties in ascending thoracic aneurysm.

Machine learning was applied to classify tension-strain curves harvested from inflation tests on asc...

Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.

Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treate...

Coil Embolization of a Renal Aneurysm Using a Minimally Invasive Endovascular Robotic System.

We present a case demonstrating the use of an endovascular robotic system in the treatment of a sacc...

Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm.

BACKGROUND: A single-institutional study comparing early and long-term outcomes of thoracic endovasc...

Zinc-Modified Nanotransporter of Doxorubicin for Targeted Prostate Cancer Delivery.

This work investigated the preparation of chitosan nanoparticles used as carriers for doxorubicin fo...

An introduction and overview of machine learning in neurosurgical care.

BACKGROUND: Machine learning (ML) is a branch of artificial intelligence that allows computers to le...

A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery.

OBJECTIVES: Accurate reconstruction and visualisation of soft tissue deformation in real time is cru...

Complications of Endovascular Aneurysm Repair: Mortality, Myocardial Infarction and Acute Kidney Injury.

OBJECTIVE: Patients undergoing endovascular aneurysm repair (EVAR) have comorbidities that increase ...

A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.

Geometric features of the aorta are linked to patient risk of rupture in the clinical decision to el...

Intensity-based 2D 3D registration for lead localization in robot guided deep brain stimulation.

Intraoperative assessment of lead localization has become a standard procedure during deep brain sti...

Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models.

Computer simulations based on the finite element method represent powerful tools for modeling blood ...

Iliac Limb Perigraft Access with Robotic Catheter Assistance for Type 2 Endoleak Embolization.

Retrograde perigraft access to the aneurysmal sac for type 2 endoleak embolization is a relevant alt...

Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm.

An abdominal aortic aneurysm is an abnormal dilatation of the aortic vessel at abdominal level. This...

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