Neurosurgery

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 the practice of neurosurgery. With exponential increases in computing power, improvements in connectivity, artificial intelligence, and enhanced precision of accessing target structures, robots are likely to be incorporated into more areas of neurosurgery in the future-making procedures safer and more...

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 unruptured intracranial aneurysms on time-of-flight ...

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

This article describes the results of feature extraction from unstructured medical records and prediction of postoperative complications for patients ...

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 placed in the prone position following general an...

Future Directions in Robotic Neurosurgery.

In this paper, we highlight promising technologies in each phase of a robotic neurosurgery operation, and identify key factors affecting how quickly t...

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

Catheters used for endovascular navigation in interventional procedures lack dexterity at the distal tip. Neurointerventionists, in particular, encoun...

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.

Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy.

STUDY DESIGN: Retrospective, case-control.

The Path to Surgical Robotics in Neurosurgery.

Robotic systems may help efficiently execute complicated tasks that require a high degree of accuracy, and this, in large part, explains why robotics ...

Introduction: Surgical Robotics in Neurosurgery Review Series.

Model Experimental Study of Man-Machine Interactive Robot-Assisted Craniotomy.

To evaluate the feasibility, safety, and accuracy of the new man-machine interactive robotic system in model experiment. The implantation of the 8 to ...

Artificial Intelligence in Clinical Neurosurgery: More than Machinery.

Predicting Discharge Disposition Following Meningioma Resection Using a Multi-Institutional Natural Language Processing Model.

BACKGROUND: Machine learning (ML)-based predictive models are increasingly common in neurosurgery, but typically require large databases of discrete v...

Two Hundred Twenty-Six Consecutive Deep Brain Stimulation Electrodes Placed Using an "Asleep" Technique and the Neuro|MateTM Robot for the Treatment of Movement Disorders.

BACKGROUND: Robotics in neurosurgery has demonstrated widening indications and rapid growth in recent years. Robotic precision and reproducibility are...

Robot-Assisted Instrumented Fusion of a T8-9 Extension Distraction Fracture and Epidural Hematoma Evacuation: 2-Dimensional Operative Video.

The utilization of robotics has been gaining increased popularity in spine surgery. It can be used to assist in pedicle screw insertion when anatomy i...