Neurosurgery

Geometry-aware PointNet for rapid prediction of cerebral aneurysm hemodynamics.

BACKGROUND AND OBJECTIVE: Cerebral aneurysms affect 2-5% of the global population and pose a signifi...

Deep learning-based vessel segmentation in non-contrast black-blood MRI for treated aneurysm follow-up: a comparative study with TOF-MRA and DSA.

Novel VSMC-associated biomarkers in intracranial aneurysm pathogenesis: a multi-omics and machine learning study.

Shifting the paradigm in intracranial aneurysm detection with deep learning: A diagnostic accuracy meta-analysis and meta-regression.

Commentary: Training Artificial Intelligence to Recognize Surgical Steps in Microscope-Based Videos of Middle Cerebral Artery Aneurysm Clipping.

Explainable machine learning prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage.

Accurate prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage (sI...

Order-Optimal Byzantine-Robust Learning Under Heterogeneity via Fair Gradient Clipping.

Byzantine-robust distributed or federated learning (FL) refers to providing reliable performance und...

Artificial Intelligence in Surgical Feedback: A Systematic Scoping Review.

OBJECTIVE: Artificial intelligence (AI) is poised to transform surgical education, particularly in p...

How strategic engagement with programs drives neurosurgery match success.

OBJECTIVE: As the neurosurgery residency application process grows increasingly reliant on strategy,...

AI-Augmented Mixed Reality for 3D Visualization of Perforator Vessels: A Feasibility Study in Fibular Flap Surgery.

OBJECTIVE: Using the fibular flap as a model, this study aims to develop a three-dimensional visuali...

Artificial intelligence in the recognition of stages in live laparoscopic cholecystectomy.

Laparoscopic cholecystectomy is the gold standard for treating symptomatic gallstones. Despite estab...

Integration of AI-generated clinic letters in complex paediatric neurosurgery outpatient settings.

PURPOSE: Dictation of outpatient clinic letters can result in increased workload for clinicians. The...

Corrigendum to "Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study" [World Neurosurgery, Volume 195, March 2025, 123728].

Use of a Novel Intraoperative Neurocognitive Monitoring Task During Awake Craniotomy for Tumor Resection in the Language-Dominant Parietal Lobe.

BACKGROUND AND OBJECTIVES: The identification of eloquent structures in the parietal lobe during awa...

Large Language Model for Postoperative Clinical Decision Support in a Neurosurgery Ward in the Gambia: A Prospective Pilot Feasibility Study.

BACKGROUND AND OBJECTIVES: Access to specialty surgical care is growing in many low-income countries...

Real-time intraoperative depth estimation in transsphenoidal surgery using deep learning: A feasibility study.

PURPOSE: Endoscopic endonasal and transcranial approaches are used for the resection of various path...

Towards improved decision making of unruptured intracranial aneurysms using automated segmentation from MRA-TOF with iterative pseudo labeling.

OBJECTIVE: To enable accurate 3D morphological assessment and support clinical decision making, DIVA...

Identification and experimental confirmation of TBC1D10C as a shared transcriptional link between abdominal aortic aneurysm and major depressive disorder.

BACKGROUND: Abdominal aortic aneurysm (AAA) and major depressive disorder (MDD) are prevalent condit...

Feasibility and accuracy of AI-assisted 3D MRI/CT fusion imaging for preoperative simulation of full-endoscopic transforaminal discectomy.

Predicting Persistent Renal Failure Necessitating Dialysis in Patients Undergoing Elective, Open Thoracoabdominal Aortic Aneurysm Repair.

BACKGROUND: Acute renal failure remains a significant complication after open thoracoabdominal aorti...

Multi-criteria evaluation of clinical decision-making performance in spinal neurosurgery and physical therapy scenarios: A comparative analysis of artificial intelligence models.