ReviewCureus2025
Artificial Intelligence and Augmented Reality in Orthopedic Surgery: A Narrative Review of Current Applications and Future Directions.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Artificial Intelligence in Intraoperative Imaging and Navigation for Spine Surgery: A Narrative Review.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) and augmented reality (AR), including mixed reality systems, are increasingly integrated across the orthopedic surgical continuum to enhance imaging interpretation, preoperative planning, intraoperative navigation, postoperative assessment, and surgical education. AI techniques such as machine learning, deep learning, and computer vision now facilitate automated segmentation, three-dimensional reconstruction, radiographic measurement, implant identification, and risk prediction with high accuracy across multiple subspecialties. AR platforms provide real-time visualization of anatomy, component alignment, and instrument trajectories, with studies in arthroplasty and spine surgery demonstrating placement accuracy within 1-2 degrees or a few millimeters, along with reduced fluoroscopy usage in selected procedures. Applications in trauma, oncology, pediatrics, and sports medicine similarly show feasibility for improving visualization, optimizing implant planning, and supporting complex resections. Educational uses of AR and mixed reality consistently improve technical performance and shorten learning curves among trainees. Despite these advances, most published studies involve small single-center cohorts, heterogeneous outcome measures, and limited external validation of AI models. AR systems also face practical challenges related to ergonomics, workflow integration, registration accuracy, and device usability. Overall, current evidence indicates that AI and AR have progressed from experimental concepts to early clinical utility across several orthopedic domains; however, broader adoption will require multicenter studies powered for patient-centered and economic outcomes, standardized reporting and validation of AI models, rigorous human-factors evaluation of AR interfaces, and development of interoperable platforms that integrate real-time AI analytics into ergonomic AR workflows. These efforts are essential to ensure the safe, effective, and equitable implementation of AI- and AR-enhanced orthopedic care.
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.