Neurosurgery

Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance.

STUDY DESIGN: Retrospective cohort.

Answer to the letter to the editor by Zhi-Hui Dai concerning "Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion" by Rudisill SS et al. (Eur Spine J [2022]; doi: 10.1007/s00586-022-07238-3).

Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery.

OBJECTIVE: Technological advances have significantly fostered the use of robotics in neurosurgery. D...

Letter to the Editor concerning "Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion" by Rudisill SS, et al. (Eur Spine J [2022]; doi: 10.1007/s00586-022-07238-3).

DSA Image Analysis of Clinical Features and Nursing Care of Cerebral Aneurysm Patients Based on the Deep Learning Algorithm.

OBJECTIVE: A deep learning algorithm was developed for automatic detection and localization of intra...

One-step Endovascular Aortic Aneurysm Repair With CO2 contrast and Robotic Partial Nephrectomy for Renal Cell Carcinoma: Case Report.

INTRODUCTION: Although rare, as the population ages, abdominal aortic aneurysm synchronous to abdomi...

Adaptive wireless millirobotic locomotion into distal vasculature.

Microcatheters have enabled diverse minimally invasive endovascular operations and notable health be...

Performance of deep learning in the detection of intracranial aneurysm: A systematic review and meta-analysis.

PURPOSE: Early detection and diagnosis of intracranial aneurysms (IAs) are particularly critical. De...

A deep learning-based automatic system for intracranial aneurysms diagnosis on three-dimensional digital subtraction angiographic images.

BACKGROUND: Intracranial aneurysms (IAs) are a life-threatening disease. Their rupture can lead to h...

Deep Learning-Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair.

PURPOSE: Modern endovascular hybrid operating rooms generate large amounts of medical images during ...

Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm.

Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenes...

Deep Learning-Based Magnetic Resonance Imaging in Diagnosis and Treatment of Intracranial Aneurysm.

This study was focused on the positioning of the intracranial aneurysm in the magnetic resonance ima...

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video.

Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complicat...

Computed Tomography Images under Artificial Intelligence Algorithms on the Treatment Evaluation of Intracerebral Hemorrhage with Minimally Invasive Aspiration.

The aim of this study was to investigate the therapeutic effect of minimally invasive aspiration on ...

Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

The most common cause of long-term disability and death in young adults is a traumatic brain injury....

Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation.

Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and ...

Stereotactic Neurosurgical Robotics With Real-Time Patient Tracking: A Cadaveric Study.

BACKGROUND: Robotic neurosurgery may improve the accuracy, speed, and availability of stereotactic p...

Telerobotic neurovascular interventions with magnetic manipulation.

Advances in robotic technology have been adopted in various subspecialties of both open and minimall...

Dense, deep learning-based intracranial aneurysm detection on TOF MRI using two-stage regularized U-Net.

BACKGROUND AND PURPOSE: The prevalence of unruptured intracranial aneurysms in the general populatio...

Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.

OBJECTIVES: Abdominal aortic aneurysm (AAA), a disease with high mortality, is limited by the curren...

Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA).

This study details application of deep learning for automatic segmentation of the ascending and desc...