Evidence map›Paper›PMID 41685036›Full record

ArticleCureus2026

Artificial Intelligence Adoption in Orthopedics: A Multicenter International Survey From Germany and Greece.

Sosanna Ierodiaconou, Amadeo Touet, Henry Pennig, Kristian Welle, Sebastian Scheidt, Christof Burger, Alexander Seuser

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sosanna IerodiaconouDepartment of Orthopedics and Trauma Surgery, Karamandaneio Prefecture Children Hospital of Patras, Patras, GRC.
Amadeo TouetDepartment of Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, DEU.
Henry PennigDepartment of Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, DEU.
Kristian WelleDepartment of Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, DEU.
Sebastian ScheidtDepartment of Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, DEU.
Christof BurgerDepartment of Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, DEU.
Alexander SeuserDepartment of Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, DEU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating artificial intelligence (AI) into healthcare systems is rapidly transforming medical practice, particularly in diagnostics, personalized treatment, and clinical workflow optimization. This multicenter international survey investigates the adoption, current usage, and perceived benefits of AI technologies within healthcare systems. A total of 28 participants responded, including 13 from German university hospitals, six from Greek university hospitals, and nine general healthcare providers in Greece. Respondents from German university hospitals reported more frequent use of AI, whereas insufficient training and concerns about data security were more prominent barriers in Greece. Previous studies highlight the growing role of AI in enhancing diagnostic accuracy through machine learning algorithms, supporting decision-making in treatment plans, and automating administrative tasks to alleviate clinician workload. Despite its promising potential, the survey identifies several barriers, including concerns about data privacy and security, the integration of AI into existing infrastructure, and the need for regulatory frameworks.

Indexed as

ai in diagnosticsai integrationartificial intelligence (ai)clinical decision supportdata privacyhealthcare systemsmulticenter survey studypersonalised treatment

Identifiers

PMID41685036
PMCPMC12893395

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.