Evidence map›Paper›PMID 37838695›Full record

ReviewJournal of orthopaedic surgery and research2023

Application progress of artificial intelligence and augmented reality in orthopaedic arthroscopy surgery.

Haojie Chen

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07636278 (Artificial Intelligence-Based Identification of the Target Zone on Arthroscopic Images During Knee Anterior Cruciate Ligament Reconstruction), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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.

NCT07636278 recruitingnot on this mapstarted 2026, after this paper: background citation

Artificial Intelligence-Based Identification of the Target Zone on Arthroscopic Images During Knee Anterior Cruciate Ligament Reconstruction: An Observational Study

TypeobservationalSponsorI.R.C.C.S Ospedale Galeazzi-Sant'AmbrogioRan2026 to 2027Enrolled100ConditionsAnterior Cruciate Ligament (ACL) TearArmsPrimary arthroscopic anterior cruciate ligament reconstruction
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
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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

1 author.

Haojie ChenDepartment of Orthopaedics, The First People's Hospital of Xiaoshan District, No. 199, Shixin South Road, Chengxiang Street, Xiaoshan District, Hangzhou, China. chjgod@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today's rapidly developing technological era, the technological revolution triggered by the rapid iteration of artificial intelligence and augmented reality has provided brand-new digital intelligent empowerment for orthopaedic clinical operation. Although traditional arthroscopy has been widely promoted globally due to its advantages such as minimally invasive, safety and early functional exercise, it still has deficiencies in precision and personalization. The assistance of artificial intelligence and augmented reality enables precise positioning and navigation in arthroscopic surgery, as well as personalized operations based on patient conditions, which lifts the objective limitations of traditional sports medicine surgery. The integration of artificial intelligence and augmented reality with orthopaedic arthroscopy surgery is still in infancy, even though there are still some insufficient to be solved, but its prospect is bright.

Indexed as

Augmented RealityOrthopedicsArthroscopyArtificial IntelligenceHumansTechnologyArthroscopy surgeryArtificial intelligence (AI)Augmented reality (AR)Precise localization

Identifiers

PMID37838695
PMCPMC10576364

What OpenQuestion holds

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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.