Surgery

Neurosurgery

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

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The role of generative artificial intelligence in deciding fusion treatment of lumbar degeneration: a comparative analysis and narrative review.

PURPOSE: This study analyzed responses and readability of generative artificial intelligence (AI) mo...

Novel Application of Connectomics to the Surgical Management of Pediatric Arteriovenous Malformations.

Introduction The emergence of connectomics in neurosurgery has allowed for construction of detailed ...

Adolescent lumbar disc herniation: etiology, diagnosis, and treatment options.

Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult...

Deciphering the transcriptomic characteristic of lactate metabolism and the immune infiltration landscape in abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysm (AAA) is a common degenerative vascular disease characterized ...

The Role of AI-driven Volumetric Aneurysm Analysis in the Management of Cerebral Aneurysms.

This article looks at the current state of aneurysm risk modeling, exploring the limitations of line...

Artery fragment guided approach for enhancing cerebral aneurysm detection in TOF-MRA imaging.

BACKGROUND: Cerebral aneurysms are a type of cerebrovascular disease that poses a severe threat to l...

Inconsistency of AI in intracranial aneurysm detection with varying dose and image reconstruction.

Scanner-related changes in data quality are common in medical imaging, yet monitoring their impact o...

Cerebral aneurysm surgical training in the neuroendovascular era and its impact on the production of comfortable aneurysm surgeons.

BACKGROUND: The increasing use of endovascular techniques has greatly decreased the number of intrac...

Where are all the neurosurgery robots?

Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robot...

An Appraisal of the Quality of Development and Reporting of Predictive Models in Spine Surgery.

Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...

Machine Learning-Based Rupture Risk Prediction for Intracranial Aneurysms: A Systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVES: Aneurysm risk prediction remains an imprecise science that places patient...

A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms.

OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracr...

Integration of machine learning and bulk sequencing revealed exosome-related gene FOSB was involved in the progression of abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysm (AAA), characterized by the pathological dilation of the abdom...

Transforming Neurosurgical Practice with Large Language Models: Comparative Performance of ChatGPT-Omni and Gemini in Complex Case Management.

BACKGROUND: Recent advancements in artificial intelligence, particularly in large language models (L...

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI.

The aim of this study was to develop an open-source nnU-Net-based AI model for combined detection an...

Adherence to SVS Abdominal Aortic Aneurysm Guidelines Among Pati ents Detected by AI-Based Algorithm.

OBJECTIVES: This study evaluates adherence to the latest Society for Vascular Surgery (SVS) guidelin...

Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasoun...

PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascul...

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