ArticleInternational journal of spine surgery2023
Artificial Intelligence and Machine Learning Applications in Spine Surgery.
Article in International journal of spine surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine learning-based prediction of proximal junctional pathology after adult spinal deformity surgery: a systematic review and diagnostic test accuracy meta-analysis.Acta neurochirurgica · 2026Pooled it
- AI applications in lumbar and lumbosacral pedicle screw placement: a systematic review of limited evidence and future directions.Neurosurgical review · 2026Pooled it
- Algorithmic fairness reporting in artificial intelligence for spinal deformity: a systematic review.Spine deformity · 2026Review
- Evolution of Endoscopic Spine Surgery: Contemporary Advances and Future Directions.Current reviews in musculoskeletal medicine · 2026Review
- Comparison of Machine Learning Models for Predicting Recurrent Lumbar Disc Herniation After Percutaneous Endoscopic Lumbar Discectomy.Journal of clinical medicine · 2026Article
- Digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers.Spine deformity · 2026Review
- AI-Guided Inflatable Neck Brace for Personalized Cervical Support.Sensors (Basel, Switzerland) · 2026Article
- Predicting proximal junctional failure in adult spinal deformity patients using machine learning models based on spinal alignment parameters.Scientific reports · 2025Article
- Leveraging artificial intelligence in the peer review of neurosurgical research articles.Neurosurgical review · 2025Article
- Artificial intelligence and machine learning in spine care: Advancing precision diagnosis, treatment, and rehabilitation.World journal of orthopedics · 2025Review
- AI and machine learning in paediatric spine deformity surgery.Bone & joint open · 2025Article
- Current Trends and Future Directions in Lumbar Spine Surgery: A Review of Emerging Techniques and Evolving Management Paradigms.Journal of clinical medicine · 2025Review
- Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network.BMC musculoskeletal disorders · 2025Article
- Generating a Synthetic Lumbar CT from a Standard MRI Protocol.Journal of clinical medicine · 2025Article
- Alignment considerations in degenerative spinal conditions: A narrative review.North American Spine Society journal · 2024Article
- Letter to the editor: enhancing perioperative care for elderly spinal surgery patients.Asian spine journal · 2024Article
- Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence.Spine deformity · 2024Review
- Pushing the Limits of Minimally Invasive Spine Surgery-From Preoperative to Intraoperative to Postoperative Management.Journal of clinical medicine · 2024Review
- Evaluating Computer Vision, Large Language, and Genome-Wide Association Models in a Limited Sized Patient Cohort for Pre-Operative Risk Stratification in Adult Spinal Deformity Surgery.Journal of clinical medicine · 2024Article
- Computational Modeling, Augmented Reality, and Artificial Intelligence in Spine Surgery.Advances in experimental medicine and biology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The complexity of patients with spine pathology and high rates of complications has driven extensive research directed toward optimizing outcomes and reducing complications. Traditional statistical analysis has been limited both in validity and in the number of predictor variables considered. Over the past decade, artificial intelligence and machine learning have taken center stage as the possible solution to creating more accurate and applicable patient-centered predictive models in spine surgery. This review discusses the current published machine learning applications on preoperative optimization, risk stratification, and predictive modeling for the cervical, lumbar, and adult spinal deformity populations.
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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.