Evidence map›Paper›PMID 39664117›Full record

ArticleJournal of CME2024

Unravelling Orthopaedic Surgeons' Perceptions and Adoption of Generative AI Technologies.

Matthias Schmidt, Yasmin B Kafai, Adrian Heinze, Monica Ghidinelli

Abstract read
In one paragraph

Article in Journal of CME, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Is orthopaedics entering the age of generative AI?-A narrative review of current applications challenges and future directions.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Review
  4. Article
  5. Article
  6. 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

4 authors.

Matthias SchmidtAO Foundation, AO Education Institute, Davos, Switzerland.ORCID https://orcid.org/0009-0009-2359-0035
Yasmin B KafaiUniversity of Pennsylvania GSE, Learning, Teaching, and Literacies Division, University Park, PA, USA.ORCID https://orcid.org/0000-0003-4018-0491
Adrian HeinzeUniversity of Mannheim, Mannheim, Germany.
Monica GhidinelliAO Foundation, AO Education Institute, Davos, Switzerland.ORCID https://orcid.org/0000-0002-7378-6273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This mixed-methods study investigates the adoption of generative AI among orthopaedic surgeons, employing a Unified Theory of Acceptance and Use of Technology (UTAUT) based survey (

Indexed as

continuing medical educationGenerative AIhuman-AI collaborationorthopedic surgerytechnology adoptionUTAUT

Identifiers

PMID39664117
PMCPMC11632920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.