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Neurosurgery

Latest AI and machine learning research in neurosurgery for healthcare professionals.

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A Training Framework for Optimal and Stable Training of Polynomial Neural Networks

By replacing standard non-linearities with polynomial activations, Polynomial Neural Networks (PNN...

(2)
Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

A generative model for the mesh geometry of intracranial aneurysms (IA) is crucial for training ne...

A fully automatic radiomics pipeline for postoperative facial nerve function prediction of vestibular schwannoma.

Vestibular schwannoma (VS) is the most prevalent intracranial schwannoma. Surgery is one of the opti...

May 2025 40210197
Current Trends and Future Directions in Lumbar Spine Surgery: A Review of Emerging Techniques and Evolving Management Paradigms.

: Lumbar spine surgery has undergone significant technological transformation in recent years, drive...

May 2025 40429385
Automatic CTA analysis for blood vessels and aneurysm features extraction in EVAR planning.

Endovascular Aneurysm Repair (EVAR) is a minimally invasive procedure crucial for treating abdominal...

(3)
May 2025 40355533
Promptable segmentation of CT lung lesions based on improved U-Net and Segment Anything model (SAM).

BackgroundComputed tomography (CT) is widely used in clinical diagnosis of lung diseases. The automa...

May 2025 40350709
AI-Driven Advances in Parkinson's Disease Neurosurgery: Enhancing Patient Selection, Trial Efficiency, and Therapeutic Outcomes.

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor and non-motor d...

May 2025 40426665
CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate

Cerebral aneurysms are pathological dilations of intracranial arteries that can rupture with devas...

(1)
Development and Validation of a Sham-AI Model for Intracranial Aneurysm Detection at CT Angiography.

Purpose To evaluate a sham-artificial intelligence (AI) model acting as a placebo control for a stan...

May 2025 40105449
Battle of the authors: Comparing neurosurgery articles written by humans and AI.

BACKGROUND: The advancement of artificial intelligence (AI) has led to its application in various fi...

(2)
May 2025 40010170
FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference

Quantization is a powerful tool to improve large language model (LLM) inference efficiency by util...

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors

Adversarial patches are widely used to evaluate the robustness of object detection systems in real...

Hemodynamic Markers: CFD-Based Prediction of Cerebral Aneurysm Rupture Risk

This study investigates the influence of aneurysm evolution on hemodynamic characteristics within ...

(1)
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation

Differentially Private Stochastic Gradient Descent (DP-SGD) is a widely adopted technique for priv...

Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study

Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subseque...

Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks

Due to the limited accuracy of 4D Magnetic Resonance Imaging (MRI) in identifying hemodynamics in ...

(1)
Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection

Vision-Language Models (VLMs) leverage aligned visual encoders to transform images into visual tok...

AneuPy: An open source Python tool for creating simulation-ready geometries of abdominal aortic aneurysms

Abdominal aortic aneurysms (AAAs) are localized dilatations of the abdominal aorta that can lead t...

(1)
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates

Personalized federated learning is extensively utilized in scenarios characterized by data heterog...

(2)
Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate

Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this st...

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