Systems and methods for using machine learning to predict contact lens compatibility

Abstract

Systems and methods for determining a compatibility between a multi-focal contact lens and a patient seeking presbyopia vision correction include receiving, from a first device associated with a first eye-care professional (ECP), a request for selecting a contact lens for a consumer, wherein the request comprises biometric information associated with the consumer; obtaining a performance metric associated with the first ECP; determining, using the machine learning model and based on the performance metric, a customized compatibility index indicating a compatibility between a particular contact lens and the consumer for the first ECP; and presenting a report indicating the compatibility index on the first device. Additional systems, methods, and non-transitory machine-readable mediums are also provided.