Neurosurgery

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...

Commentary: The Path to Surgical Robotics in Neurosurgery.

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

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

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

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

STUDY DESIGN: Retrospective, case-control.

Introduction: Surgical Robotics in Neurosurgery Review Series.

The Path to Surgical Robotics in Neurosurgery.

Robotic systems may help efficiently execute complicated tasks that require a high degree of accurac...

Artificial Intelligence in Clinical Neurosurgery: More than Machinery.

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 ...

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, b...

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 recen...

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 t...

Promises and Perils of Artificial Intelligence in Neurosurgery.

Artificial intelligence (AI)-facilitated clinical automation is expected to become increasingly prev...

Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans.

Intracranial hemorrhage is a pathological condition that requires fast diagnosis and decision making...