Diagnostic Accuracy of Artificial Intelligence-based Automated Detection of Diabetic Retinopathy in Routine Care Using Nonmydriatic Fundus Images: The Silesia Diabetes-Heart Project.

Irlik K, Kwiendacz H, Wylęgała A, Bolek B, Gut-Misiaga M, Gil A, Piaśnik J, Jochemczyk J, Gryń I, Wójcik W, Wybraniec O, Łata J, Głuszko K, Miękina J, Jurek D, Niezgoda M, Ignacy P, Szromek-Białek P, Gumprecht J, Alam U, Lip GYH, Nabrdalik K

Open source

DOI: 10.1016/j.clinthera.2026.06.005
Published: 2026 Jun 29
Container: Clinical therapeutics
Publisher: Not recorded
Open access: no

Credibility signals

limited evidence Score 43/100 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
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
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:10.1016/j.clinthera.2026.06.005,
  title = {Diagnostic Accuracy of Artificial Intelligence-based Automated Detection of Diabetic Retinopathy in Routine Care Using Nonmydriatic Fundus Images: The Silesia Diabetes-Heart Project.},
  author = {Irlik K and Kwiendacz H and Wylęgała A and Bolek B and Gut-Misiaga M and Gil A and Piaśnik J and Jochemczyk J and Gryń I and Wójcik W and Wybraniec O and Łata J and Głuszko K and Miękina J and Jurek D and Niezgoda M and Ignacy P and Szromek-Białek P and Gumprecht J and Alam U and Lip GYH and Nabrdalik K},
  year = {2026},
  journal = {Clinical therapeutics},
  doi = {10.1016/j.clinthera.2026.06.005},
  url = {https://doi.org/10.1016/j.clinthera.2026.06.005}
}

RIS

TY  - JOUR
TI  - Diagnostic Accuracy of Artificial Intelligence-based Automated Detection of Diabetic Retinopathy in Routine Care Using Nonmydriatic Fundus Images: The Silesia Diabetes-Heart Project.
AU  - Irlik K
AU  - Kwiendacz H
AU  - Wylęgała A
AU  - Bolek B
AU  - Gut-Misiaga M
AU  - Gil A
AU  - Piaśnik J
AU  - Jochemczyk J
AU  - Gryń I
AU  - Wójcik W
AU  - Wybraniec O
AU  - Łata J
AU  - Głuszko K
AU  - Miękina J
AU  - Jurek D
AU  - Niezgoda M
AU  - Ignacy P
AU  - Szromek-Białek P
AU  - Gumprecht J
AU  - Alam U
AU  - Lip GYH
AU  - Nabrdalik K
PY  - 2026
JO  - Clinical therapeutics
DO  - 10.1016/j.clinthera.2026.06.005
UR  - https://doi.org/10.1016/j.clinthera.2026.06.005
ER  -

APA

K, I., H, K., A, W., B, B., M, G., A, G., J, P., J, J., I, G., W, W., O, W., J, Ł., K, G., J, M., D, J., M, N., P, I., P, S., J, G., U, A., GYH, L., & K, N. (2026). Diagnostic Accuracy of Artificial Intelligence-based Automated Detection of Diabetic Retinopathy in Routine Care Using Nonmydriatic Fundus Images: The Silesia Diabetes-Heart Project.. Clinical therapeutics. https://doi.org/10.1016/j.clinthera.2026.06.005

Source records

pubmed · retrieved 2026-09-26T15:16:07.590Z
europe-pmc · retrieved 2026-09-26T15:16:07.588Z