Neurosurgery

Large language models in artificial intelligence to answer patient questions in spine surgery: an evaluation of current evidence.

INTRODUCTION: Large language models (LLMs) are increasingly being explored in healthcare, particular...

Neurosurgical Application of Artificial Intelligence in Pediatric Neuro-Oncology.

Pediatric neuro-oncology is a critical field of neurosurgery, representing the leading cause of dise...

AI-Guided 4D Printing of Carnivorous Plants-Inspired Microneedles for Accelerated Wound Healing.

Artificial intelligence (AI) integrated with bioinspired design enables the development of materials...

Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.

Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the populat...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions tha...

Applications of artificial intelligence in peripheral neurosurgery: a systematic review.

Discriminating infectious and non-infectious fever after open craniotomy: a combined statistical and machine learning approach.

Application of machine learning algorithms to predict and assess factors related to internal carotid siphon aneurysm occlusion treated with flow diversion.

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC).

Postoperative placement of patients into a regular ward, an intermediate-care unit (IMC), or an inte...

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation.

BACKGROUND: Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication...

Variable Treatment Effects of Cranial Surgery in Pediatric Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (TBI) in children is associated with poor o...

IVA-FL: An information-value-aware federated learning framework for Privacy-Preserving Financial data Risk Management.

Federated Learning (FL) has emerged as a critical paradigm for enabling financial institutions to co...

Developing a practical machine learning model to predict post implantation syndrome after endovascular aneurysm repair.

BACKGROUND: Post-implantation syndrome (PIS) is recognized as a systemic inflammatory response follo...

Development and validation of stability prediction models for intracranial aneurysms based on ensemble learning algorithms.

OBJECTIVE: This study aims to develop and validate ensemble learning models based on pre-rupture or ...

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

Recent advances in synthetic virtual 3D endoscopy to assist in skull base surgery.

INTRODUCTION: The advent of the operating microscope revolutionized neurosurgery by introducing ster...

A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations.

BACKGROUND AND OBJECTIVES: Traditional medical board examinations present clinical information in st...

A Machine learning pipeline to investigate tissue ingrowth in cerebral aneurysms using preclinical animal models.

Cerebral aneurysm is a life-threatening condition characterized by the formation of a saccular bulge...

From genes to diagnosis: The impact of UNC5B and DOK5 in intracranial aneurysm detection and pathogenesis.

OBJECTIVE: Intracranial aneurysms exhibit a notable prevalence within the general population, charac...

Unveiling m7G modification patterns and causal drivers governing intracranial aneurysm rupture risk through multi-omics validation and m7G-MeRIP-seq profiling.

Intracranial aneurysm (IA) rupture causes severe brain hemorrhage with high mortality, yet its molec...

Artificial intelligence and robotics in global neurosurgery: A scoping review.

OBJECTIVE: Artificial intelligence (AI) and robotics are transforming neurosurgical care; however, t...