Neurosurgery

Morphological parameters contributing to aneurysm rupture: Identifying the rogue from the mugshot using different statistical methods.

INTRODUCTION: Current scores that discriminate rupture status/rupture-associated morphology of aneur...

Noninvasive decoding of typed sentences from human brain activity.

Modern neuroprostheses can now restore communication in patients who have lost the ability to speak ...

The impact of body mass index on early readmission and reoperation following endoscopic vs. open/microsurgical lumbar surgery: A nationwide analysis.

OBJECTIVE: Lumbar degenerative spine disease (LDSD) often requires surgery when conservative treatme...

The Unseen Aneurysm: Can Artificial Intelligence Bridge the Diagnostic Gap in Angiogram-Negative Subarachnoid Hemorrhage?

Evaluating expert decision-pattern alignment in endovascular planning for intracranial aneurysms using a multimodal large language model.

BACKGROUND: Endovascular treatment planning for intracranial aneurysms requires integrating vascular...

AneuSI: A software tool to isolate a region of interest in cerebral aneurysms from full geometrical models.

BACKGROUND AND OBJECTIVE: Modeling cerebral aneurysms using patient-specific geometries demands sign...

Exploratory comparative analysis of automated morphologic and perfusion features derived from one-stop computed tomography angiography and computed tomography perfusion in large unruptured intracranial aneurysms.

PURPOSE: To compare rupture-related signals captured by automatically extracted computed tomography ...

AI for prognosis and treatment stratification in glioblastoma neurosurgery: a systematic review.

BACKGROUND: Glioblastoma (GBM) remains one of the most lethal adult primary brain tumors, and neuros...

Practical pathways for evaluating artificial intelligence in intracranial aneurysm detection.

Global gender representation in neurointerventional surgery: a natural language processing analysis of journal publications.

BACKGROUND: Despite increased awareness of diversity and inclusion in neurointerventional surgery, t...

Heterogeneity of Clazosentan Benefit after Aneurysmal Subarachnoid Hemorrhage Demonstrated in an Externally Validated Causal Policy Tree.

BACKGROUND: Clazosentan reduces angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSA...

Time-to-event ensemble machine learning approach for predicting long-term survival of abdominal aortic aneurysm patients undergoing endovascular aneurysm repair.

BACKGROUND: Endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) is associated wi...

A CLIP-based framework for multiclass lung histopathology classification with prompt engineering and class-imbalance-aware focal optimization.

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and accurate hi...

Identifying Unmonitored Tone Drift in Patient Education Materials Transcribed to a Lower Reading Level by a Large Language Model.

BACKGROUND AND OBJECTIVES: Effective patient education is essential in neurosurgery, but many materi...

Preoperative hypoalbuminemia predicts early complications, mortality, and discharge disposition following surgical resection of spinal metastases: a nationwide study.

PURPOSE: Patients undergoing surgery for spinal metastases often have limited physiologic reserve. A...

ACADM-mediated fatty acid β-oxidation pathway in atherosclerosis and abdominal aortic aneurysm.

BACKGROUND AND AIMS: Atherosclerosis (AS) and abdominal aortic aneurysm (AAA) are both metabolism-as...

Application of Focused Ultrasound in Alzheimer's Disease: A Bibliometric Analysis.

OBJECTIVE: This study uses bibliometric analysis and knowledge mapping methods to systematically exp...

Diagnostic performance of machine learning models versus established risk stratification for intracranial aneurysm rupture: a systematic review and bivariate meta-analysis.

BACKGROUND: Machine learning (ML) models have been proposed to improve the discrimination of intracr...

Study Design Differences and Temporal Morphology Bias in Intracranial Aneurysm Rupture Research: Toward Prospectively Validated Risk Models: An Umbrella Review.

BACKGROUND AND OBJECTIVE: Risk stratification for unruptured intracranial aneurysms largely relies o...

Accuracy of machine learning in predicting recurrence risk of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a systematic review and meta-analysis.

BACKGROUND: Lumbar disc herniation (LDH) is a major cause of low back pain and radicular leg pain. P...

Beyond Broca and Wernicke: Epilepsy surgery in the language areas.

Epilepsy surgery in language areas is challenged by the intricacies of presurgical workup and surgic...