Merging artificial intelligence and retinal vascular geometric parameters: A novel tool for diagnosis and prognosis prediction of diabetic nephropathy
- DOI
- 10.1097/cm9.0000000000004211
- Published
- 2026-08-24
- Container
- Chinese Medical Journal
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- 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.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1097/cm9.0000000000004211,
title = {Merging artificial intelligence and retinal vascular geometric parameters: A novel tool for diagnosis and prognosis prediction of diabetic nephropathy},
author = {Sai Pan and Xiaoniao Chen and Qian Wang and Zhaohui Li and Fang Liu and Liqiang Wang and Yong Wang and Dajiang Wang and Li Zhang and Feng Liu and Ying Li and Jie Wu and Pu Chen and Xueying Cao and Guangyan Cai and Zheyi Dong},
year = {2026},
journal = {Chinese Medical Journal},
doi = {10.1097/cm9.0000000000004211},
url = {https://doi.org/10.1097/cm9.0000000000004211}
}RIS
TY - JOUR TI - Merging artificial intelligence and retinal vascular geometric parameters: A novel tool for diagnosis and prognosis prediction of diabetic nephropathy AU - Sai Pan AU - Xiaoniao Chen AU - Qian Wang AU - Zhaohui Li AU - Fang Liu AU - Liqiang Wang AU - Yong Wang AU - Dajiang Wang AU - Li Zhang AU - Feng Liu AU - Ying Li AU - Jie Wu AU - Pu Chen AU - Xueying Cao AU - Guangyan Cai AU - Zheyi Dong PY - 2026 JO - Chinese Medical Journal DO - 10.1097/cm9.0000000000004211 UR - https://doi.org/10.1097/cm9.0000000000004211 ER -
APA
Pan, S., Chen, X., Wang, Q., Li, Z., Liu, F., Wang, L., Wang, Y., Wang, D., Zhang, L., Liu, F., Li, Y., Wu, J., Chen, P., Cao, X., Cai, G., & Dong, Z. (2026). Merging artificial intelligence and retinal vascular geometric parameters: A novel tool for diagnosis and prognosis prediction of diabetic nephropathy. Chinese Medical Journal. https://doi.org/10.1097/cm9.0000000000004211
Source records
- crossref · retrieved 2026-09-27T10:04:14.813Z