President Abraham Abraham Lincoln's assassination in April 1865 remains one of the most scrutinized cases in forensic history. We re-examined his fatal head wound through the lens of modern neurosurgery, focusing on projectile trajectory, biomechanic...
As artificial intelligence (AI), particularly large language models (LLMs), continues to progress, its impact on academic publishing, both in manuscript drafting and peer review, has attracted considerable attention. In neurosurgery, where journals s...
BACKGROUND: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasi...
The traditional peer review process is time-consuming and can delay the dissemination of critical research. This study evaluates the effectiveness of artificial intelligence (AI) in predicting the acceptance or rejection of neurosurgical manuscripts,...
OBJECTIVE: This study evaluates the reliability and accuracy of AI-generated text detection tools in distinguishing human-authored academic content from AI-generated texts, highlighting potential challenges and ethical considerations in their applica...
BACKGROUND: Perioperative education is crucial for optimizing outcomes in neuroendovascular procedures, where inadequate understanding can heighten patient anxiety and hinder care plan adherence. Current education models, reliant on traditional consu...
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jun 5, 2025
BACKGROUND: The increasing use of endovascular techniques has greatly decreased the number of intracranial aneurysms treated with open surgery. The objective of this study is to quantify chief residents' experience and comfort level with clipping of ...
Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robots have yet to revolutionize neurosurgery. In this perspective, we examine why neurosurgical robotics lag behind, analyzing economic, regulatory, liabi...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in diagnostic neurosurgery, enhancing precision and decision-making in neuro-oncology, vascular, functional, and spinal subspecialties. Despite its potential, variability in outcomes ne...
Large-language models (LLMs) have shown the capability to effectively answer medical board examination questions. However, their ability to answer imagebased questions has not been examined. This study sought to evaluate the performance of two LLMs (...
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