ReviewDiagnostics (Basel, Switzerland)2023
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.
- The efficacy of machine learning algorithms in evaluating factors associated with shunt-dependent hydrocephalus after subarachnoid hemorrhage: a systematic review and meta-analysis.Neurosurgical review · 2025Pooled it
- Artificial intelligence models in the surgical planning of low-grade gliomas: a systematic review.Frontiers in oncology · 2025Pooled it
- Large language models in neurosurgery: a systematic review and meta-analysis.Acta neurochirurgica · 2024Pooled it
- Overcoming barriers to neurosurgical care with technology and innovation.BMC global and public health · 2026Review
- Clinical application of artificial intelligence technology in epilepsy.Acta epileptologica · 2026Review
- Robotic-assisted cardiothoracic surgery: a comprehensive bibliometric analysis of trends, innovations, and future directions.Journal of cardiothoracic surgery · 2026Review
- Machine learning models for predicting treatment outcomes in chronic non-specific back pain patients undergoing lumbar extension traction.Scientific reports · 2026Article
- Artificial intelligence in neurosurgery: A patent bibliometric analysis of the Lens database.Surgical neurology international · 2026Article
- A narrative review on artificial intelligence in neurosurgery: ethical challenges and implementation considerations.Annals of medicine and surgery (2012) · 2025Review
- The future of intraoperative neuromonitoring (IONM) in spinal surgery.North American Spine Society journal · 2025Article
- Leveraging artificial intelligence in the peer review of neurosurgical research articles.Neurosurgical review · 2025Article
- AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service.Annals of neurology · 2025Review
- AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery.NPJ digital medicine · 2025Article
- Electrical Stimulation of Cells: Drivers, Technology, and Effects.Chemical reviews · 2025Review
- Editorial for "New Advances in Neurosurgery: Clinical Diagnosis, Treatment and Prognosis".Diagnostics (Basel, Switzerland) · 2025Article
- AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.Annals of neurology · 2025Review
- Article
- Employing large language models safely and effectively as a practicing neurosurgeon.Acta neurochirurgica · 2025Review
- The role of advocacy and policy in advancing global neurosurgery.Annals of medicine and surgery (2012) · 2025Review
- Applications of Machine Learning in the Diagnosis and Prognosis of Patients with Chiari Malformation Type I: A Scoping Review.Children (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, there has been a significant surge in discussions surrounding artificial intelligence (AI), along with a corresponding increase in its practical applications in various facets of everyday life, including the medical industry. Notably, even in the highly specialized realm of neurosurgery, AI has been utilized for differential diagnosis, pre-operative evaluation, and improving surgical precision. Many of these applications have begun to mitigate risks of intraoperative and postoperative complications and post-operative care. This article aims to present an overview of the principal published papers on the significant themes of tumor, spine, epilepsy, and vascular issues, wherein AI has been applied to assess its potential applications within neurosurgery. The method involved identifying high-cited seminal papers using PubMed and Google Scholar, conducting a comprehensive review of various study types, and summarizing machine learning applications to enhance understanding among clinicians for future utilization. Recent studies demonstrate that machine learning (ML) holds significant potential in neuro-oncological care, spine surgery, epilepsy management, and other neurosurgical applications. ML techniques have proven effective in tumor identification, surgical outcomes prediction, seizure outcome prediction, aneurysm prediction, and more, highlighting its broad impact and potential in improving patient management and outcomes in neurosurgery. This review will encompass the current state of research, as well as predictions for the future of AI within neurosurgery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.