Evaluating the diagnostic performance of artificial intelligence for pediatric appendicular fractures: a systematic review and meta-analysis

Mohammad-Taha Pahlevan-Fallahy, Elahe Salmanian, Amir-Mohammad Asgari, Naghmeh Kian, Mahrooz Malek, Farhad Shaker

Open source

DOI: 10.1007/s00247-026-06823-8
Published: 2026-11-05
Container: Pediatric Radiology
Publisher: Springer Science and Business Media LLC
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1007/s00247-026-06823-8,
  title = {Evaluating the diagnostic performance of artificial intelligence for pediatric appendicular fractures: a systematic review and meta-analysis},
  author = {Mohammad-Taha Pahlevan-Fallahy and Elahe Salmanian and Amir-Mohammad Asgari and Naghmeh Kian and Mahrooz Malek and Farhad Shaker},
  year = {2026},
  journal = {Pediatric Radiology},
  doi = {10.1007/s00247-026-06823-8},
  url = {https://doi.org/10.1007/s00247-026-06823-8}
}

RIS

TY  - JOUR
TI  - Evaluating the diagnostic performance of artificial intelligence for pediatric appendicular fractures: a systematic review and meta-analysis
AU  - Mohammad-Taha Pahlevan-Fallahy
AU  - Elahe Salmanian
AU  - Amir-Mohammad Asgari
AU  - Naghmeh Kian
AU  - Mahrooz Malek
AU  - Farhad Shaker
PY  - 2026
JO  - Pediatric Radiology
DO  - 10.1007/s00247-026-06823-8
UR  - https://doi.org/10.1007/s00247-026-06823-8
ER  -

APA

Pahlevan-Fallahy, M., Salmanian, E., Asgari, A., Kian, N., Malek, M., & Shaker, F. (2026). Evaluating the diagnostic performance of artificial intelligence for pediatric appendicular fractures: a systematic review and meta-analysis. Pediatric Radiology. https://doi.org/10.1007/s00247-026-06823-8

Source records

crossref · retrieved 2026-11-08T05:26:52.035Z