Evidence map›Paper›PMID 40718258›Full record

ReviewCureus2025

Augmented Reality in Spine Surgery: A Narrative Review of Clinical Accuracy, Workflow Efficiency, and Barriers to Adoption.

Ahmed Nadeem-Tariq, Sarah Kazemeini, Pratiksha Kaur, Grace Dang, Trevor Davis, Kiratpreet Sraa, Philip Zitser, Christopher Fang

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ahmed Nadeem-TariqOtolaryngology - Head and Neck Surgery, University of Nevada, Las Vegas (UNLV) School of Medicine, Las Vegas, USA.
Sarah KazemeiniMedical Education, University of Nevada, Las Vegas (UNLV) School of Medicine, Las Vegas, USA.
Pratiksha KaurDermatology, Stony Brook University, Stony Brook, USA.
Grace DangDermatology, University of Missouri-Kansas City School of Medicine, Kansas City, USA.
Trevor DavisDermatology, West Virginia School of Osteopathic Medicine, Lewisburg, USA.
Kiratpreet SraaDermatology, Midwestern University Arizona College of Osteopathic Medicine, Glendale, USA.
Philip ZitserDermatology, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, USA.
Christopher FangOrthopedics, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas (UNLV), Las Vegas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Augmented reality (AR) has emerged as a promising intraoperative navigation tool in spine surgery, particularly for pedicle screw placement, which demands high spatial precision and carries risks of neurovascular injury. AR platforms offer real-time overlays of patient anatomy, aiming to enhance accuracy, reduce radiation exposure, and streamline operative workflow. This narrative review synthesizes the early clinical experiences, efficacy data, and barriers to adoption for AR-assisted navigation in spine surgery. It also explores the role of AR in surgical training, workflow optimization, and future integration into routine practice. A comprehensive search of PubMed and ScienceDirect was conducted for English-language studies from January 2004 to May 2025. Inclusion criteria focused on peer-reviewed trials evaluating AR in spinal procedures, with outcomes including screw placement accuracy, radiation exposure, operative time, and user experience. Across multiple platforms, including Microsoft HoloLens and Augmedics xVision, AR-assisted navigation demonstrated pedicle screw placement accuracy rates ranging from 93% to 100%, often with reduced fluoroscopy time and improved surgeon ergonomics. Preliminary data suggest utility in complex deformity surgeries and surgical training. However, widespread adoption remains limited by cost, integration challenges, and a lack of large-scale, multicenter trials. AR represents a viable adjunct to current navigation technologies in spine surgery, showing early promise in enhancing precision and efficiency. Broader adoption will require improved validation, standardization of training protocols, and cost-effectiveness data.

Indexed as

augmented realityorthopedicorthopedic surgeryvirtual realityvirtual reality simulation

Identifiers

PMID40718258
PMCPMC12296264

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.