Neurosurgery

Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma.

Predicting isocitrate dehydrogenase (IDH) mutations in gliomas using magnetic resonance imaging (MRI...

Evaluation of ChatGPT's and Gemini's Ability to Find Studies About Neurosurgical Training and Trainees' Anatomy Understanding.

BACKGROUND: There is a lack of research about artificial intelligence's potential to explore neurosu...

Generative AI-Assisted Medical Illustrations in Pediatric Neurosurgery: Workflows, Ethical Safeguards, and Journal Policy Considerations.

Generative artificial intelligence (AI) has emerged as a transformative tool for creating high-quali...

Large Language Model and Pediatric Neurosurgery - A Neurosurgeon's Perspective on the Artificial Nervous System.

Large language models (LLMs) are rapidly transforming healthcare, yet their implications for pediatr...

Predicting intracranial aneurysm rupture risk and intervention outcomes using denoising-enhanced CT Angiography.

BACKGROUND AND PURPOSE: To develop a comprehensive multi-modal framework for assessing the rupture r...

Pfirrmann Grading and Features of Internal Derangement Identified in Discs Studied By Lumbar Discography in Patients with Chronic Low Back Pain.

BACKGROUND AND PURPOSE: Lumbar disc degeneration Pfirrmann Grade (PfGr) is commonly used to evaluate...

From Static Diagnosis to Dynamic Guidance : Evolution of Artificial Intelligence in Pediatric Neuroimaging.

The pediatric brain represents a dynamic biological target characterized by rapid myelination and fu...

Preface : Digital and Robotic Transformation of Pediatric Neurosurgery.

This Pediatric Issue of the Journal of Korean Neurosurgical Society addresses the digital and roboti...

AI-driven navigated hematoma aspiration vs. conservative treatment for spontaneous intracerebral hemorrhage: study protocol for a randomized controlled trial.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) remains one of the most devastating types of ...

Development and External Validation of a Deep Learning Model to Predict Mortality in Aneurysmal Subarachnoid Hemorrhage Using Admission Computed Tomography.

BACKGROUND AND OBJECTIVES: Traditional prognostication after aneurysmal subarachnoid hemorrhage depe...

Unlocking the mind: brain mapping for the exploratory quest of functional and cognitive networks in awake neurosurgery.

This retrospective study investigated the efficacy of intraoperative brain stimulation in 18 awake p...

Single-Cell Profiling Identifies CLEC5A+ Macrophages as Key Drivers of Thoracic Aortic Aneurysm Via CCL5-Mediated M1 Polarization.

BACKGROUND: Thoracic aortic aneurysm (TAA) is a life-threatening disease with limited therapeutic op...

Mammography-based artificial intelligence model for predicting axillary lymph node status after neoadjuvant therapy in breast cancer.

OBJECTIVES: Our objective is to develop a deep learning-based artificial intelligence (AI) model cap...

AI-Powered Pipeline Transforms Neurosurgical Articles Into High-Quality Graphical Abstracts.

BACKGROUND AND OBJECTIVES: Neurosurgery Publications encourages the creation of graphical abstracts ...

Development and validation of a deep learning radiomics model for predicting adjacent segment degeneration following anterior cervical discectomy and fusion.

Low-field strength MRI (0.55T) for stereotactic and functional neurosurgery using deep learning-based reconstruction algorithm: Preliminary experiences.

BACKGROUND: There has been a trend toward exclusive use of high MRI field strength (1.5 T or above) ...

Enhancing Readability of Surgical Patient Education Resources Using ChatGPT.

INTRODUCTION: Patient education materials are essential for informed decision-making. However, their...

Extended Reality in Neurosurgery : Surgical Planning, Navigation, Education, and Patient Communication.

Extended reality (XR), encompassing virtual reality (VR), augmented reality (AR), and mixed reality ...

An Emerging Role of Artificial Intelligence in Pediatric Neuroanesthesia.

Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characteriz...

Artificial intelligence-based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation.

STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model...

Generation of virtual abdominal aortic aneurysm shape evolution using a physics-based G&R model and its applications to aneurysm growth prediction.

The computational growth and remodeling (G&R) of aortic aneurysms has been extensively investigated ...