A deep learning approach for predicting antimicrobial resistance in urinary tract infections.

Shaker M, Zaki A, Asser SL, Sayed IE, Azmy MM

Open source

DOI: 10.1186/s12894-026-02203-4
Published: 2026 Jul 28
Container: BMC urology
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 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
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. 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:10.1186/s12894-026-02203-4,
  title = {A deep learning approach for predicting antimicrobial resistance in urinary tract infections.},
  author = {Shaker M and Zaki A and Asser SL and Sayed IE and Azmy MM},
  year = {2026},
  journal = {BMC urology},
  doi = {10.1186/s12894-026-02203-4},
  url = {https://doi.org/10.1186/s12894-026-02203-4}
}

RIS

TY  - JOUR
TI  - A deep learning approach for predicting antimicrobial resistance in urinary tract infections.
AU  - Shaker M
AU  - Zaki A
AU  - Asser SL
AU  - Sayed IE
AU  - Azmy MM
PY  - 2026
JO  - BMC urology
DO  - 10.1186/s12894-026-02203-4
UR  - https://doi.org/10.1186/s12894-026-02203-4
ER  -

APA

M, S., A, Z., SL, A., IE, S., & MM, A. (2026). A deep learning approach for predicting antimicrobial resistance in urinary tract infections.. BMC urology. https://doi.org/10.1186/s12894-026-02203-4

Source records

pubmed · retrieved 2026-11-10T19:14:39.200Z
europe-pmc · retrieved 2026-11-10T19:14:39.211Z
doaj · retrieved 2026-11-10T19:14:39.202Z