Neurosurgery

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions that signal leadership, mentorship, and scholarly influence. Comprehensive global analyses across surgical specialties remain limited. This study examined gender representation among first and last (senior) authors across surgical subspecialties, countries, and continents using natural language process...

Applications of artificial intelligence in peripheral neurosurgery: a systematic review.

Discriminating infectious and non-infectious fever after open craniotomy: a combined statistical and machine learning approach.

Machine Learning Models Used to Predict Abdominal Aortic Aneurysm Growth and Rupture: A Systematic Review and Critical Appraisal.

BACKGROUND: Abdominal aortic aneurysm (AAA) rupture remains a major cause of mortality, and diameter-based surveillance is an imperfect predictor of r...

Application of machine learning algorithms to predict and assess factors related to internal carotid siphon aneurysm occlusion treated with flow diversion.

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an intensive care unit (ICU) is critical for balancing pa...

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation.

BACKGROUND: Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication of Kawasaki disease (KD) and remains difficult to...

Variable Treatment Effects of Cranial Surgery in Pediatric Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (TBI) in children is associated with poor outcomes, but evidence surrounding the role of oper...

IVA-FL: An information-value-aware federated learning framework for Privacy-Preserving Financial data Risk Management.

Federated Learning (FL) has emerged as a critical paradigm for enabling financial institutions to collaboratively train models while preserving data p...

Developing a practical machine learning model to predict post implantation syndrome after endovascular aneurysm repair.

BACKGROUND: Post-implantation syndrome (PIS) is recognized as a systemic inflammatory response following endovascular aneurysm repair (EVAR), characte...

Development and validation of stability prediction models for intracranial aneurysms based on ensemble learning algorithms.

OBJECTIVE: This study aims to develop and validate ensemble learning models based on pre-rupture or pre-growth images andmultiple features to predict ...

Comment on: "Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces".

Recent advances in synthetic virtual 3D endoscopy to assist in skull base surgery.

INTRODUCTION: The advent of the operating microscope revolutionized neurosurgery by introducing stereoscopic visualization and enabling microneurosurg...

A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations.

BACKGROUND AND OBJECTIVES: Traditional medical board examinations present clinical information in static vignettes with multiple-choices (MC), fundame...

A Machine learning pipeline to investigate tissue ingrowth in cerebral aneurysms using preclinical animal models.

Cerebral aneurysm is a life-threatening condition characterized by the formation of a saccular bulge in brain blood vessels, which can rupture and lea...

From genes to diagnosis: The impact of UNC5B and DOK5 in intracranial aneurysm detection and pathogenesis.

OBJECTIVE: Intracranial aneurysms exhibit a notable prevalence within the general population, characterized by an incidence rate ranging from 1% to 2%...

Unveiling m7G modification patterns and causal drivers governing intracranial aneurysm rupture risk through multi-omics validation and m7G-MeRIP-seq profiling.

Intracranial aneurysm (IA) rupture causes severe brain hemorrhage with high mortality, yet its molecular drivers remain unclear and better risk predic...

Artificial intelligence and robotics in global neurosurgery: A scoping review.

OBJECTIVE: Artificial intelligence (AI) and robotics are transforming neurosurgical care; however, the application of these technologies in low- and m...

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 significant health risk upon rupture. While computational...

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