An AI model to estimate visual acuity based solely on cross-sectional OCT imaging of various diseases.
Satoru InodaHidenori TakahashiYusuke AraiHironobu TampoYoshitsugu MatsuiHidetoshi KawashimaYasuo YanagiPublished in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2023)
Although underspecification appears to be a fundamental problem to be addressed in AI models for predicting visual acuity, the present results suggest that AI models might have potential for estimating BCVA from OCT in AMD and RVO. Further research is needed to improve the utility of BCVA estimation for these diseases.