ReviewAnnals of medicine and surgery (2012)2025
Artificial intelligence and its use in spine surgery and preparation of predictive models: a systematic review.
Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI-integrated smartwatch monitoring for early detection of stroke and hemorrhage: A systematic review.Medicine · 2026Pooled it
- A call for dynamic guidelines: Incorporating AI ethics into social media best practices for spine professionals.North American Spine Society journal · 2026Article
- Artificial Intelligence in Surgical Care: A Point-Counterpoint Analysis.Trauma surgery & acute care open · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last decade, artificial intelligence (AI) has witnessed phenomenal growth, accompanied by unparalleled opportunities in health. The integration of machine learning at the heart of health systems has shaped a revolution that helps to reduce health, social, and economic inequities while improving global health outcomes. The use of AI for spine surgery, in particular, serves to enhance the accuracy of predicted algorithms and can be used to improve surgical accuracy and reduce operative time, thereby enhancing efficiency and productivity. This review outlines the current literature on the use of AI in spine surgery and identifies its established evidence to provide positive surgical outcomes. With all these promises, AI in spine surgery remains in its infancy; it is anticipated that further development will yield much greater benefits in the immediate future.
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.