Predicting renal function using fundus photography: role of confounders
Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. However, these models are susceptible to the influence of sex, a potential confounding factor. The CKD-EPI formula, less susceptible to sex bias, is recommended to obtain more reliable results.
Authors
- Hae-Ri Kim (ORCID: https://orcid.org/0000-0001-8766-6064)
- Ki Yup Nam (ORCID: https://orcid.org/0000-0002-3602-8422)
- Hyunwoong Park (ORCID: https://orcid.org/0000-0001-7765-2259)
- Bum Jun Kim
- Tae-Seen Kang
Institutions
- Changwon National University (KR)
- Gyeongsang National University (KR)
- Chungnam National University (KR)
- Chungnam National University Hospital (KR)
Publication Details
- Journal
- The Korean Journal of Internal Medicine
- Published
- 2025-03-01
- DOI
- https://doi.org/10.3904/kjim.2024.076
- Citations
- 1
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 1.43