Surgery

Neurosurgery

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

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Showing 43-63 of 4,721 articles
The role of artificial intelligence in diagnostic neurosurgery: a systematic review.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in diagnostic neurosurgery, enhanci...

Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.

Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post...

AtlasGPT: a language model grounded in neurosurgery with domain-specific data and document retrieval.

OBJECTIVE: Large language models (LLMs) have shown promising performance on medical licensing examin...

Identification of key therapeutic targets in nicotine-induced intracranial aneurysm through integrated bioinformatics and machine learning approaches.

BACKGROUND: Intracranial aneurysm (IA) is a critical cerebrovascular condition, and nicotine exposur...

Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.

The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) an...

Artificial intelligence-based machine learning protocols enable quicker assessment of aortic biomechanics: A case study.

Analyzing aortic biomechanical wall stresses for abdominal aortic aneurysms remains challenging. Cli...

An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment.

Chronic disease (CD) like diabetes and stroke impacts global healthcare extensively, and continuous ...

Multimodal imaging platform for enhanced tumor resection in neurosurgery: integrating hyperspectral and pCLE technologies.

PURPOSE: This work presents a novel multimodal imaging platform that integrates hyperspectral imagin...

Accuracy and quality of ChatGPT-4o and Google Gemini performance on image-based neurosurgery board questions.

Large-language models (LLMs) have shown the capability to effectively answer medical board examinati...

Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.

ObjectiveEndovascular aneurysm repair (EVAR) has become a preferred method for treating abdominal ao...

Letters to the editor generated by AI in neuroscience: The role of neuroethics.

The letter to the editor (LTE) is a correspondence forum that allows a journal's readers to comment ...

Artificial intelligence in academic writing: Enhancing or replacing human expertise?

This letter discusses findings from a recent study comparing AI-generated and humanwritten neurosurg...

A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair.

OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative...

Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EV...

Applications of Artificial Intelligence in Neurosurgery for Improving Outcomes Through Diagnostics, Predictive Tools, and Resident Education.

BACKGROUND: Artificial intelligence (AI) has become an increasingly prominent tool in the field of n...

Comparison of surgical approaches to the hippocampal formation with artificial intelligence.

The relatively complex functional anatomy of the mediobasal temporal region makes surgical approache...

Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD.

Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed ...

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