Neurosurgery

Foundations of Time Series Analysis.

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

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

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...

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...

Editorial. Ethical nuances and medicolegal vulnerabilities in robotic neurosurgery.

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...

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...

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

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

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

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

Robotic Applications in Cranial Neurosurgery: Current and Future.

Robotics applied to cranial surgery is a fast-moving and fascinating field, which is transforming th...

A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm.

PURPOSE: This study aimed to investigate whether a deep learning model for automated detection of un...

Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

This article describes the results of feature extraction from unstructured medical records and predi...

Letter: The Path to Surgical Robotics in Neurosurgery.

Robot-assisted intrathoracic procedure for dumbbell tumour in the prone position.

A 24-year-old man presented with a dumbbell-shaped right posterior mediastinal mass. The patient was...

Future Directions in Robotic Neurosurgery.

In this paper, we highlight promising technologies in each phase of a robotic neurosurgery operation...

Soft robotic steerable microcatheter for the endovascular treatment of cerebral disorders.

Catheters used for endovascular navigation in interventional procedures lack dexterity at the distal...

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

Commentary: The Path to Surgical Robotics in Neurosurgery.

Artificial intelligence and automatic segmentation of abdominal aortic aneurysm: Past, present, and future.

Artificial intelligence for fully automatic segmentation of abdominal aortic aneurysm using convolutional neural networks.