Hoffmann-La Roche Inc.

F. Hoffmann-La Roche Ag

Jayashree Sahni

Andreas Maunz

Yun Li

Fethallah Benmansour

Thomas Felix Albrecht

Andreas Thalhammer

Yan-Ping Zhang Schaerer

Filippo Arcadu

Methods and systems disclosed herein relate generally to systems and methods for predicting a future visual acuity of a subject by using machine-learning models. An image of at least part of a retina of a subject can be processed by one or more first machine-learning models to detect a set of retina-related segments. Segment-specific metrics that characterize a retina-related segment of the set of retina-related segments can be generated. The segment-specific metrics can be processed by using a second machine-learning model to generate a result corresponding to a prediction corresponding to a future visual acuity of the subject.

Machine-learning techniques for prediction of future visual acuity

Growing community of inventors

Basel, Switzerland

Jayashree Sahni