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Neurosurgery

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

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Showing 715-735 of 3,845 articles
Calibration of the mechanical boundary conditions for a patient-specific thoracic aorta model including the heart motion effect

Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary c...

(2)
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning

Reinforcement learning (RL)-based fine-tuning has emerged as a powerful approach for aligning diff...

Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs

Background: With the increasing availability of healthcare data, predictive modeling finds many ap...

Repurposing the scientific literature with vision-language models

Leading vision-language models (VLMs) are trained on general Internet content, overlooking scienti...

Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam

This paper comprehensively evaluates several recently proposed optimizers for 4-bit training, reve...

(1)
Deep learning approaches to surgical video segmentation and object detection: A Scoping Review

Introduction: Computer vision (CV) has had a transformative impact in biomedical fields such as ra...

(2)
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics

Natural Language Processing (NLP) and Voice Recognition agents are rapidly evolving healthcare by ...

(1)
Towards personalised assessment of abdominal aortic aneurysm structural integrity

Abdominal aortic aneurysm (AAA) is a life-threatening condition involving the permanent dilation o...

(1)
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs

Federated learning (FL) is a popular paradigm for collaborative training which avoids direct data ...

Effect of Laminectomy Methods on the Surgical Safety of Automatic Laminectomy Robot.

BACKGROUND: The efficacy of laminectomy procedures is contingent on the method of resection. The obj...

Feb 2025 39815793
Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic-Assisted System for Neurosurgery.

BACKGROUND: Neurosurgery demands high precision, and robotic-assisted systems are increasingly emplo...

(2)
Feb 2025 39905681
Ethical Concerns of AI in Neurosurgery: A Systematic Review.

BACKGROUND: The relentless integration of Artificial Intelligence (AI) into neurosurgery necessitate...

Feb 2025 39935215
Towards Unified Structured Light Optimization

Structured light (SL) 3D reconstruction captures the precise surface shape of objects, providing h...

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization

Quantization for deep neural networks (DNNs) is the process of mapping the parameter values of DNN...

Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics

Intracranial aneurysm (IA) is a common cerebrovascular disease that is usually asymptomatic but ma...

The Power of Negative Zero: Datatype Customization for Quantized Large Language Models

Large language models (LLMs) have demonstrated remarkable performance across various machine learn...

Mechanisms Driving Thoracic Aortic Aneurysm Stability

Thoracic aortic aneurysms (TAAs) arise from a combination of biological and mechanical factors. Curr...

Impact of Aspirin Therapy on Progression of Thoracic and Abdominal Aortic Aneurysms

Aortic aneurysms, including abdominal (AAA) and thoracic (TAA), pose significant challenges due to t...

Plasma Proteomics and Diabetes Duration Predict Aneurysm Incidence and Rupture Using Machine Learning

Early identification of individuals at high risk for aneurysms, particularly ruptured aneurysms, is ...

Neurosurgery and Artificial Intelligence: A Metric Analysis of Scopus-Indexed Original Articles (2014-2023)

A comprehensive analysis of artificial intelligence’s (AI) integration into neurosurgery is vital to...

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