Using artificial intelligence to develop a measure of orthopaedic treatment success from clinical notes.

Floyd SB, Almeldien AG, Smith DH, Judkins B, Krohn CE, Reynolds ZC, Jeray K, Obeid JS

DOI: 10.3389/fdgth.2025.1523953
Published: 2025
Container: Frontiers in digital health
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:10.3389/fdgth.2025.1523953,
  title = {Using artificial intelligence to develop a measure of orthopaedic treatment success from clinical notes.},
  author = {Floyd SB and Almeldien AG and Smith DH and Judkins B and Krohn CE and Reynolds ZC and Jeray K and Obeid JS},
  year = {2025},
  journal = {Frontiers in digital health},
  doi = {10.3389/fdgth.2025.1523953},
  url = {https://doi.org/10.3389/fdgth.2025.1523953}
}

RIS

TY  - JOUR
TI  - Using artificial intelligence to develop a measure of orthopaedic treatment success from clinical notes.
AU  - Floyd SB
AU  - Almeldien AG
AU  - Smith DH
AU  - Judkins B
AU  - Krohn CE
AU  - Reynolds ZC
AU  - Jeray K
AU  - Obeid JS
PY  - 2025
JO  - Frontiers in digital health
DO  - 10.3389/fdgth.2025.1523953
UR  - https://doi.org/10.3389/fdgth.2025.1523953
ER  -

APA

SB, F., AG, A., DH, S., B, J., CE, K., ZC, R., K, J., & JS, O. (2025). Using artificial intelligence to develop a measure of orthopaedic treatment success from clinical notes.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2025.1523953

Source records

pubmed · retrieved 2026-11-10T13:20:18.932Z