Abstract: A method and system for selecting an intraocular lens, with a controller having a processor and tangible, non-transitory memory. A plurality of machine learning models is selectively executable by the controller. The controller is configured to receive at least one pre-operative image of the eye and extract, via a first input machine learning model, a first set of data. The controller is configured to receive multiple biometric parameters of the eye and extract, via a second input machine learning model, a second set of data. The first set of data and the second set of data are combined to produce a mixed set of data. The controller is configured to generate, via an output machine learning model, at least one output factor based on the mixed set of data. An intraocular lens is selected based in part on the at least one output factor.

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.

Abstract: Systems and methods for intraocular lens (IOL) selection using emmetropia zone prediction include determining pre-operative measurements of an eye, estimating a post-operative anterior chamber depth (ACD) of an intraocular lens based on the pre-operative measurements, estimating a post-operative manifest refraction in spherical equivalent (MRSE) of the eye with the IOL implanted based on the pre-operative measurements and the estimated post-operative ACD, determining whether the eye with the IOL implanted is likely to be in an emmetropia zone based on the estimated post-operative MRSE, re-estimating the post-operative MRSE of the eye with the IOL implanted using an emmetropia zone prediction model or a non-emmetropia zone prediction model based on the emmetropia zone determining, and providing the re-estimated post-operative MRSE to a user to aid in selection of an IOL for implantation in the eye.