Retinal age (deep-learning retinal aging clock)
imaging method · published 2023 · measured from retina (fundus image)
imaging
open
Output: Retinal age; retinal age gap (retinal age minus chronological age)
Facts
| Method type | imaging |
|---|---|
| Published | 2023 |
| Sample type | retina (fundus image) |
| Output | Retinal age; retinal age gap (retinal age minus chronological age) |
| Validated population | UK Biobank participants with retinal fundus imaging |
| Open or commercial | open |
| Formula publicly available | No |
Required inputs
- Fundus (retinal) photograph
Original publication
Zhu Z, Shi D, Guankai P, Tan Z, Shang X, Hu W, Liao H, Zhang X, Huang Y, Yu H, Meng W, Wang W, Ge Z, Yang X, He M. Retinal age gap as a predictive biomarker for mortality risk. Br J Ophthalmol. 2023;107(4):547-554.
DOI: 10.1136/bjophthalmol-2021-319807 · PMID: 35042683
Limitations
- A deep-learning model, not a closed-form formula — outputs depend on the specific trained network and image quality/device.
- Requires fundus photography equipment; not accessible without an eye-imaging visit.