Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis

Abstract

Deep-learning methods allow an accurate assessment of substance and regimen efficacy. Irrespectively, all fluid compartments were found to be important markers of disease activity and were relevant for visual outcomes.