Evidence map›Paper›PMID 40322353›Full record

ReviewCureus2025

Exploring the Current Applications of Artificial Intelligence in Orthopaedic Surgical Training: A Systematic Scoping Review.

Ahmed Al-Saadawi, Sam Tehranchi, Syed Ahmed, Obinna J Nzeako

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 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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.

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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Review
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

4 authors.

Ahmed Al-SaadawiSchool of Medicine and Dentistry, Queen Mary University of London, London, GBR.
Sam TehranchiSchool of Medicine and Dentistry, Queen Mary University of London, London, GBR.
Syed AhmedDepartment of Trauma and Orthopaedic Surgery, Maidstone and Tunbridge Wells NHS Trust, London, GBR.
Obinna J NzeakoDepartment of Trauma and Orthopaedic Surgery, Maidstone and Tunbridge Wells NHS Trust, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the integration of artificial intelligence (AI) in surgical education has been prominent, as evidenced by recent publications. Given the unique requirements and challenges associated with orthopaedic training, we conducted a systematic scoping review that examined the applications of AI only in this setting. A comprehensive search was conducted across four databases: Embase, CENTRAL, Medline, and Scopus. Original research articles that utilised an AI model within a specific orthopaedic educational context were considered for inclusion. Data from the included studies were extracted onto a bespoke form, followed by a thematic analysis to detect patterns within the data. Our findings were then summarised descriptively. A total of 21 studies were included in the scoping review, encompassing 273 participants. In relation to the integration of AI in orthopaedic surgical training, two overarching themes were identified: refinement of surgical competencies and enhancement of knowledge acquisition. All included studies, with the exception of one, were conducted in the last five years. Twelve distinct AI models were utilised across the included studies, with large language models accounting for over half the applications. Multiple promising interventions were highlighted, particularly the use of personalised automated feedback models for evaluating performance in surgical tasks. AI holds major potential to revolutionise orthopaedic surgical training. However, evidence supporting its use in this field remains limited. Further studies, preferably randomised controlled trials with larger sample sizes, are required to strengthen the evidence base.

Indexed as

artificial intelligencemachine learningmedical educationorthopaedic surgerysurgical education

Identifiers

PMID40322353
PMCPMC12049242

What OpenQuestion holds

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LicenceCC BY
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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.