Reliability-metric reporting in diabetic retinopathy artificial intelligence: a structured audit of 245 studies and a proposed minimum reporting standard
- DOI
- 10.31222/osf.io/q59x4_v1
- Published
- 2026-09-08
- Container
- Not recorded
- Publisher
- Center for Open Science
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.31222/osf.io/q59x4_v1,
title = {Reliability-metric reporting in diabetic retinopathy artificial intelligence: a structured audit of 245 studies and a proposed minimum reporting standard},
author = {Jaffer Shah and P. Shanmugavadivu Dr and Thamizhiniyan Natarajan},
year = {2026},
doi = {10.31222/osf.io/q59x4_v1},
url = {https://doi.org/10.31222/osf.io/q59x4_v1}
}RIS
TY - JOUR TI - Reliability-metric reporting in diabetic retinopathy artificial intelligence: a structured audit of 245 studies and a proposed minimum reporting standard AU - Jaffer Shah AU - P. Shanmugavadivu Dr AU - Thamizhiniyan Natarajan PY - 2026 DO - 10.31222/osf.io/q59x4_v1 UR - https://doi.org/10.31222/osf.io/q59x4_v1 ER -
APA
Shah, J., Dr, P. S., & Natarajan, T. (2026). Reliability-metric reporting in diabetic retinopathy artificial intelligence: a structured audit of 245 studies and a proposed minimum reporting standard. https://doi.org/10.31222/osf.io/q59x4_v1
Source records
- crossref · retrieved 2026-09-25T20:02:20.552Z