Neurosurgery

Comparison of Different Machine Learning Methods in Prediction of Long-Term Survival After Endovascular Aneurysm Repair.

PurposeLong-term survival after endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm re...

Application of large language and artificial intelligence modeling in the prediction of peer-review outcomes.

OBJECTIVE: The rapid development of artificial intelligence (AI) presents an opportunity to streamli...

Interpretable classification of endomicroscopic brain data via saliency consistent contrastive learning.

In neurosurgery, accurate brain tissue characterization via probe-based Confocal Laser Endomicroscop...

Targeting High-Risk Populations for Abdominal Aortic Aneurysm Screening: A Sex-Stratified Analysis in an Ethnicity Diverse Cohort Incorporating Machine Learning Tools.

BACKGROUND: Abdominal aortic aneurysm (AAA) is usually asymptomatic, but rupture carries up to 90% m...

Progress in constitutive modeling of arterial wall tissue mechanics: from theoretical frameworks to clinical application.

Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and the mechanical behavior ...

Accuracy of fully automated iliac artery tortuosity measurements in patients with abdominal aortic aneurysm using deep learning.

OBJECTIVE: To externally validate the accuracy of deep learning-based iliac artery tortuosity assess...

Align then clip: Refining graph for face clustering.

Face clustering, a critical task for annotating large-scale unlabeled face recognition datasets, aim...

Performance of deep-learning reconstruction combined with metal artifact reduction algorithm for dual-energy computed tomography angiography in intracranial aneurysm coil embolization.

PURPOSES: To evaluate the diagnostic confidence in cerebral aneurysm embolization coil follow-up usi...

[Expert consensus on neurosurgical robot-assisted deep brain stimulation surgery (2026 edition)].

Robot-assisted deep brain stimulation (DBS) surgical systems in neurosurgery have demonstrated signi...

Development and Validation of an Interpretable Machine Learning Model for Predicting Early Fusion After Anterior Cervical Discectomy and Fusion.

STUDY DESIGN: Retrospective case-control study. OBJECTIVES: This study aimed to develop and prelimin...

Systematic machine learning approach for cerebral aneurysm feature selection and rupture status classification.

BACKGROUND: Current methods of intracranial aneurysm rupture risk assessment in the clinical setting...

Evaluating the Performance and Fragility of Large Language Models on the Self-Assessment for Neurological Surgeons.

BACKGROUND AND OBJECTIVES: The Congress of Neurological Surgeons Self-Assessment for Neurological Su...

Risk Models for Adverse Events in Microsurgery for Intracranial Unruptured Aneurysms.

BACKGROUND AND OBJECTIVES: Preventive treatment of unruptured intracranial aneurysms (UIAs) requires...

GN-Net: A Geometric and Neighborhood-Aware Network for Predicting Intracranial Aneurysm Rupture Risk and Assisting Clinical Decision-Making.

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

Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may...

Three-dimensional surface scanning for registration in stereotactic neurosurgery: a cadaveric feasibility study.

OBJECTIVE: Achieving submillimetric accuracy in stereotactic neurosurgery remains critical for safel...

Adaptive differential privacy mechanism for enhanced deep learning model utility and privacy.

The potential leakage of training data privacy in deep learning has been a topic of concern for rese...

Explainable Convolutional Neural Networks for the identification of the Ampullariidae genus.

Invasive freshwater snails of the family Ampullariidae present significant threats to agriculture, b...

Unsupervised machine learning for identifying morphological phenotypes in abdominal aortic aneurysms using fully automated volume-segmented imaging: a multicentre cohort study.

AIMS: Thrombo- and microembolic complications following abdominal aortic aneurysm (AAA) repair are h...

An Internet of Things operating room platform for neurosurgery.

OBJECTIVE: The operating room (OR) is a data-rich environment and largely follows closed-door polici...

Evaluation of Approved AI-based Brain Aneurysm Detection Software in Clinical Practice: Comparison with Radiologist Assessment and Image Re-review.

PURPOSE: This study evaluated the performance of artificial intelligence (AI)-based brain aneurysm d...