Neurosurgery

Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography.

PURPOSE: To determine how automation bias (inclination of humans to overly trust-automated decision-...

Performance evaluation of ChatGPT-4.0 and Gemini on image-based neurosurgery board practice questions: A comparative analysis.

INTRODUCTION: Artificial intelligence (AI) has gained significant attention in medicine, particularl...

Identifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis.

BACKGROUND AND AIM: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs)...

Application of three-dimensional printing in the planning and execution of aortic aneurysm repair.

INTRODUCTION: The accuracy of fenestrations in stent grafts for complex aortic aneurysms and dissect...

Current update on surgical management for spinal tuberculosis: a scientific mapping of worldwide publications.

INTRODUCTION: Spinal tuberculosis (TB), or Pott's disease, remains a significant global health issue...

Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit.

PURPOSE: We aimed to validate a clinically available artificial intelligence (AI) model to assist ge...

Design of a Cost-Effective Ultrasound Force Sensor and Force Control System for Robotic Extra-Body Ultrasound Imaging.

Ultrasound imaging is widely valued for its safety, non-invasiveness, and real-time capabilities but...

Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study.

Intracranial atherosclerotic stenosis (ICAS) and intracranial aneurysms are prevalent conditions in ...

Machine learning validation of a simple prediction model for the correlation between advanced age and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage.

Adverse effects of advanced age and poor initial neurological status on outcomes of patients with an...

Prediction of Aneurysm Sac Shrinkage After Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

INTRODUCTION: A simple risk stratification model to predict aneurysm sac shrinkagein patients underg...

Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model.

OBJECTIVE: To evaluate the clinical utility of improved machine learning models in predicting poor p...

Prediction of prognosis in patients with cerebral contusions based on machine learning.

Traumatic brain injury (TBI) is a global issue and a major cause of patient mortality, and cerebral ...

A comparative analysis of unilateral biportal endoscopic and open laminectomy in multilevel lumbar stenosis.

BACKGROUND: Approximately 103 million people across the globe suffer from symptomatic lumbar spinal ...

Volumetric Artificial Intelligence Analysis of Prerupture and Postrupture Cerebral Aneurysms: Assessment of Morphologic Change.

BACKGROUND: Cerebral aneurysm rupture is a major cause of potential years of life lost. Research on ...

Editorial: Functional approach to neurosurgery: current research and future perspectives.

Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAA...

Deep learning-assistance significantly increases the detection sensitivity of neurosurgery residents for intracranial aneurysms in subarachnoid hemorrhage.

OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a deep learning model (DLM...

A bibliometric analysis of abdominal aortic aneurysm (2014-2024).

BACKGROUND: Abdominal aortic aneurysm (AAA) is a localized bulge of the abdominal aorta, which mainl...

Neurocontrol for fixed-length trajectories in environments with soft barriers.

In this paper we present three neurocontrol problems where the analytic policy gradient via back-pro...

Artificial intelligence in emergency neuroradiology: Current applications and perspectives.

Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a...

Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysm (AAA) is a serious life-threatening vascular disease, and its ...