ReviewAIMS neuroscience2021
Neurosurgery and artificial intelligence.
Review in AIMS neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 7 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
64 citing papers in PubMed, 7 syntheses or guidelines pooled it, 111 citations in OpenAlex.
- Awake craniotomy and language assessment in deaf patients: a systematic review of feasibility, communication strategies, and outcomes.Journal of neuro-oncology · 2026Pooled it
- Cerebellar transcranial magnetic stimulation in essential tremor: a systematic review and meta-analysis of safety and efficacy.Acta neurologica Belgica · 2025Pooled it
- Revolutionizing stroke prediction: a systematic review of AI-powered wearable technologies for early detection of stroke.Neurosurgical review · 2025Pooled it
- Ethical Concerns of AI in Neurosurgery: A Systematic Review.Brain and behavior · 2025Pooled it
- Awake craniotomy during pregnancy: A systematic review of the published literature.Neurosurgical review · 2023Pooled it
- Artificial intelligence in the autonomous navigation of endovascular interventions: a systematic review.Frontiers in human neuroscience · 2023Pooled it
- Augmented and virtual reality usage in awake craniotomy: a systematic review.Neurosurgical review · 2022Pooled it
- Overcoming barriers to neurosurgical care with technology and innovation.BMC global and public health · 2026Review
- PituPhase65: An endoscopic pituitary surgery dataset for surgical phase recognition.Scientific data · 2026Article
- Toward real-time autonomous navigation: transformer-based catheter tip tracking in fluoroscopy.International journal of computer assisted radiology and surgery · 2026Article
- Robotic-assisted cardiothoracic surgery: a comprehensive bibliometric analysis of trends, innovations, and future directions.Journal of cardiothoracic surgery · 2026Review
- Article
- Intraoperative Hemodynamic Management and Cerebral Protection During Awake Craniotomy: Evidence-Based Approaches.Anesthesiology research and practice · 2026Review
- Deskilling dilemma: brain over automation.Frontiers in medicine · 2026Article
- Artificial Intelligence in Planning for Spine Surgery.Current reviews in musculoskeletal medicine · 2025Review
- Highly Cited Artificial Intelligence Research Studies Published in Neurosurgical Journals: A Bibliometric Analysis.Cureus · 2025Review
- Article
- AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery.NPJ digital medicine · 2025Article
- Investigating the Feasibility and Safety of Osseointegration With Neural Interfaces for Advanced Prosthetic Control.Cureus · 2025Review
- The Role of Artificial Intelligence in the Diagnosis and Management of Non-convulsive Seizures: A Narrative Review.Cureus · 2025Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. The last decade has seen a significant increase in the importance of artificial intelligence (AI) in neurosurgery. AI can provide a great promise in neurosurgery by complementing neurosurgeons' skills to provide the best possible interventional and noninterventional care for patients by enhancing diagnostic and prognostic outcomes in clinical treatment and help neurosurgeons with decision making during surgical interventions to improve patient outcomes. Furthermore, AI is playing a pivotal role in the production, processing and storage of clinical and experimental data. AI usage in neurosurgery can also reduce the costs associated with surgical care and provide high-quality healthcare to a broader population. Additionally, AI and neurosurgery can build a symbiotic relationship where AI helps to push the boundaries of neurosurgery, and neurosurgery can help AI to develop better and more robust algorithms. This review explores the role of AI in interventional and noninterventional aspects of neurosurgery during pre-, intra- and postoperative care, such as diagnosis, clinical decision making, surgical operation, prognosis, data acquisition, and research within the neurosurgical arena.
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.