SynthesisSovremennye tekhnologii v meditsine2021
Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas.
Synthesis in Sovremennye tekhnologii v meditsine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants.Neurosurgical review · 2024Pooled it
- Pooled it
- [D-wave-guided navigation in spinal cord surgery: From monitoring to decision-making].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Review
- Digital neurosurgery in the era of intelligent medicine: a scoping review.Frontiers in medicine · 2025Review
- Breaking boundaries in neurosurgery through art and technology: A historical perspective.Brain & spine · 2024Review
- Themes in neuronavigation research: A machine learning topic analysis.World neurosurgery: X · 2023Review
- Radiomics in Determining Tumor-to-Normal Brain SUV Ratio Based onSovremennye tekhnologii v meditsine · 2023Article
- Computer-vision based analysis of the neurosurgical scene - A systematic review.Brain & spine · 2023Review
- A novel multiple kernel fuzzy topic modeling technique for biomedical data.BMC bioinformatics · 2022Article
- What do we want to know about MOOCs? Results from a machine learning approach to a systematic literature mapping review.International journal of educational technology in higher education · 2022Review
- The future of artificial intelligence in neurosurgery: A narrative review.Surgical neurology international · 2022Review
- Assessment of Clinical Decision Support System Efficiency in Spinal Neurosurgery for Personalized Minimally Invasive Technologies Used on Lumbar Spine.Sovremennye tekhnologii v meditsine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the number of scientific publications on artificial intelligence (AI), primarily on machine learning, with respect to neurosurgery, has increased.
methodsUsing the PubMed search engine, we found and analyzed 327 original articles published in 1996-2019. The key words specific to each topic were identified using topic modeling algorithms LDA and ARTM, which are part of the AI-based natural language processing.
resultsFive main areas of neurosurgery, in which research into AI methods are underway, have been identified: neuro-oncology, functional neurosurgery, vascular neurosurgery, spinal neurosurgery, and surgery of traumatic brain injury. Specifics of these studies are characterized.
conclusionThe information presented in this review can be instrumental in planning new research projects in 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.