Ninomiya et al. develop an ensemble multitask deep-learning model that estimates retinal age from a fundus photograph while using an auxiliary blood marker only during training. They showed that ensemble disagreement provides confidence score and that a larger retinal age gap is associated with diabetes, cardiac disease, and stroke.
- Takahiro Ninomiya
- Akiko Hanyuda
- Toru Nakazawa
