AIMC Topic: Neurosurgical Procedures
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Artificial neural networks in neurosurgery.
Journal of neurology, neurosurgery, and psychiatry
Jul 1, 2014
Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review of the relevant published articles that focused on the application of ANNs as a tool for assisting clinical decision-making in neurosurgery. A literatu...
Comparison of quality, empathy and readability of physician responses versus chatbot responses to common cerebrovascular neurosurgical questions on a social media platform.
Clinical neurology and neurosurgery
Aug 1, 2025
BACKGROUND: Social media platforms are utilized by patients prior to scheduling formal consultations and also serve as a means of pursuing second opinions. Cerebrovascular pathologies require regular surveillance and specialized care. In recent years...
Streamlining microsurgical procedures: a phantom trial of an artificial intelligence-driven robotic microscope assistant.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Surgical microscopes are essential in microsurgery for magnification, focus, and illumination. However, surgeons must frequently adjust the microscope manually-typically via a handgrip or mouth switch-to maintain a well-centered view that ...
A multiregional multimodal machine learning model for predicting outcome of surgery for symptomatic hemorrhagic brainstem cavernous malformations.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Given that resection of brainstem cavernous malformations (BSCMs) ends hemorrhaging but carries a high risk of neurological deficits, it is necessary to develop and validate a model predicting surgical outcomes. This study aimed to constru...
The use of generative artificial intelligence-based dictation in a neurosurgical practice: a pilot study.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Document dictation remains a significant clinical burden and generative artificial intelligence (AI) systems utilizing transformer-based technology offer efficient speech processing methods that could streamline clinical documentation. Thi...
Open-source AI-assisted rapid 3D color multimodal image fusion and preoperative augmented reality planning of extracerebral tumors.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: This study aimed to develop an advanced method for preoperative planning and surgical guidance using open-source artificial intelligence (AI)-assisted rapid 3D color multimodal image fusion (MIF) and augmented reality (AR) in extracerebral...
Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacy.
Neurosurgical focus
Jul 1, 2025
OBJECTIVE: Use of neurosurgical data for clinical research and machine learning (ML) model development is often limited by data availability, sample sizes, and regulatory constraints. Synthetic data offer a potential solution to challenges associated...
Development and validation of a predictive machine learning model for postoperative long-term diabetes insipidus following transsphenoidal surgery for sellar lesions.
Clinical neurology and neurosurgery
Jun 1, 2025
OBJECTIVE: Diabetes Insipidus (DI) is a common complication that occurs following transsphenoidal surgery for sellar lesions. DI is usually transient but can be permanent in select patients. Prior studies have described preoperative risk factors for ...
The ethics of autonomous neurosurgical robots (ANRs).
Bioethics
Jun 1, 2025
It may only be a handful of years before fully autonomous neurosurgical robots (ANRs) are pushed into widespread clinical adoption. Nevertheless, whether it is ethical to greenlight the development and adoption of ANRs is still up for debate. On the ...
Artificial intelligence in neurosurgery: a systematic review of applications, model comparisons, and ethical implications.
Neurosurgical review
May 29, 2025
BACKGROUND: Artificial Intelligence (AI) has emerged as a transformative tool in medicine, particularly addressing neurosurgical challenges such as complex anatomical delineation and intraoperative decision-making. Despite advancements in diagnostic ...
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