Neurosurgery

A Deep Learning Framework for Image-Based Screening of Kawasaki Disease.

Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized ...

Evaluating a 3D deep learning pipeline for cerebral vessel and intracranial aneurysm segmentation from computed tomography angiography-digital subtraction angiography image pairs.

OBJECTIVE: Computed tomography angiography (CTA) is the most widely used imaging modality for intrac...

[Robotic Liver Resection for Liver Malignancy].

Robotic liver resection is a new platform for minimally invasive liver resection, and its functional...

[Research on the Application of Electromagnetic Navigation Technology in Surgical Robots].

Due to the need to achieve precise operations during surgery, in order to prevent hand tremors and p...

[Clinical study on application of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions].

To examine the application value of 3D Slicer software assisted domestic frameless stereotactic rob...

Cavernous Malformations and Artificial Intelligence: Machine Learning Applications.

Significant progress has been made in the use of artificial intelligence (AI) in clinical medicine o...

Robot Assisted Neurosurgery for High-Accuracy, Minimally-Invasive Deep Brain Electrophysiology in Monkeys.

Traditional methods to access subcortical structures involve the use of anatomical atlases and high ...

[Robotics Helps Usher in a New Era of Neurosurgery].

The application of surgical robots in neurosurgery has formed a rapidly developing and fascinating n...

Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.

In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in...

Noninvasive Glioma Grading with Deep Learning: A Pilot Study.

Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue typ...

Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations.

Patients, relatives, doctors, and healthcare providers anticipate the evidence-based length of stay ...

Clinical application of virtual imaging guided Robot-assisted partial nephrectomy.

Objectives : To evaluate whether virtual partial nephrectomy images could help surgeons identify vas...

Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images.

The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during preg...

Deep Learning for Outcome Prediction in Neurosurgery: A Systematic Review of Design, Reporting, and Reproducibility.

Deep learning (DL) is a powerful machine learning technique that has increasingly been used to predi...

Editorial. Ethical nuances and medicolegal vulnerabilities in robotic neurosurgery.

Robotic and robot-assisted skull base neurosurgery: systematic review of current applications and future directions.

OBJECTIVE: The utility of robotic instrumentation is expanding in neurosurgery. Despite this, succes...

Collaborative spinal robot system for laminectomy: a preliminary study.

OBJECTIVE: The application of robots in the field of pedicle screw placement has achieved great succ...

Letter to the Editor Regarding "Global Research Trends in Robotic Application in Neurosurgery: A Systematic Bibliometric Analysis".

Foundations of Time Series Analysis.

For almost a century, classical statistical methods including exponential smoothing and autoregressi...

In Reply: Machine Learning and Artificial Intelligence in Neurosurgery: Status, Prospects, and Challenges.

Letter: Machine Learning and Artificial Intelligence in Neurosurgery: Status, Prospects, and Challenges.