Neurosurgery

Patient and physician perspectives on large language model generated responses about brain aneurysm.

PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery...

Optimizing the mathematical model and technical standards for unilateral biportal endoscopic spinal surgery through machine learning-based video analysis.

OBJECTIVE: To enhance the efficacy of the unilateral biportal endoscopic spinal procedure, the spina...

Intraoperative technological advances and new frontiers in precision glioma surgery.

BACKGROUND: Diffuse gliomas remain among the most surgically challenging tumors, characterized by th...

Enhancing decision-making in surgery for a large temporocorneal meningioma through an explainable human-AI collaboration: a case report.

BACKGROUND: Meningiomas, particularly large temporocorneal meningiomas, pose significant surgical ch...

Vibe Coding in Neurosurgery: Bridging the Gap Between Clinical Needs and Digital Innovation-A Narrative Review and Practical Perspective.

BackgroundArtificial intelligence (AI) and machine learning are transforming neurosurgical research ...

Adaptive learning rate methodologies and clipping mechanisms based upon gradient entropy.

Serving as a pivotal parameter during deep learning training processes, learning rate plays a crucia...

End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography.

Purpose To develop and validate an end-to-end autonomous platform for the quantification and visuali...

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 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...

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...