A practical guide to the implementation of AI in orthopaedic research-Part 4: Prerequisites for a successful orthopedics AI-driven project in terms of interdisciplinary collaboration, data management, ethical approval and technology.

Longo UG, Merone M, Schena E, Bandini B, Nicodemi G, Zsidai B, Hilkert AS, Senorski EH, Grassi A, Ley C, Herbst E, Hirschmann MT, Kopf S, Seil R, Tischer T, Feldt R, Samuelsson K, Oettl FC

Open source

DOI: 10.1002/jeo2.70863
Published: 2026 Jul
Container: Journal of experimental orthopaedics
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1002/jeo2.70863,
  title = {A practical guide to the implementation of AI in orthopaedic research-Part 4: Prerequisites for a successful orthopedics AI-driven project in terms of interdisciplinary collaboration, data management, ethical approval and technology.},
  author = {Longo UG and Merone M and Schena E and Bandini B and Nicodemi G and Zsidai B and Hilkert AS and Senorski EH and Grassi A and Ley C and Herbst E and Hirschmann MT and Kopf S and Seil R and Tischer T and Feldt R and Samuelsson K and Oettl FC},
  year = {2026},
  journal = {Journal of experimental orthopaedics},
  doi = {10.1002/jeo2.70863},
  url = {https://doi.org/10.1002/jeo2.70863}
}

RIS

TY  - JOUR
TI  - A practical guide to the implementation of AI in orthopaedic research-Part 4: Prerequisites for a successful orthopedics AI-driven project in terms of interdisciplinary collaboration, data management, ethical approval and technology.
AU  - Longo UG
AU  - Merone M
AU  - Schena E
AU  - Bandini B
AU  - Nicodemi G
AU  - Zsidai B
AU  - Hilkert AS
AU  - Senorski EH
AU  - Grassi A
AU  - Ley C
AU  - Herbst E
AU  - Hirschmann MT
AU  - Kopf S
AU  - Seil R
AU  - Tischer T
AU  - Feldt R
AU  - Samuelsson K
AU  - Oettl FC
PY  - 2026
JO  - Journal of experimental orthopaedics
DO  - 10.1002/jeo2.70863
UR  - https://doi.org/10.1002/jeo2.70863
ER  -

APA

UG, L., M, M., E, S., B, B., G, N., B, Z., AS, H., EH, S., A, G., C, L., E, H., MT, H., S, K., R, S., T, T., R, F., K, S., & FC, O. (2026). A practical guide to the implementation of AI in orthopaedic research-Part 4: Prerequisites for a successful orthopedics AI-driven project in terms of interdisciplinary collaboration, data management, ethical approval and technology.. Journal of experimental orthopaedics. https://doi.org/10.1002/jeo2.70863

Source records

pubmed · retrieved 2026-09-26T17:31:13.858Z