Systems and methods for intraocular lens selection

A prediction engine comprising:

• one or more processors;
• wherein the prediction engine is configured to:
• receive one or more pre-operative multi-dimensional images of an eye obtained by a diagnostic device;
• extract one or more pre-operative measurements of the eye based on the one or more pre-operative images of the eye, wherein the one or more pre-operative measurements of the eye at least include an estimated position of the lens equator determined as an equator line between each of two intersection points of an anterior lens radius and a posterior lens radius, an angle-to-angle width of an anterior chamber of the eye, an angle between a pupillary axis of the eye and a line of sight axis of the eye when vision of the eye is fixated on a fixation point, and a refractive power of a cornea of the eye;
• estimate, using a first prediction model based on a machine learning strategy, a post-operative position of an intraocular lens based on the one or more extracted pre-operative measurements of the eye;
• recommend a power of the intraocular lens based on at least the estimated post-operative position of the intraocular lens;
• and
• provide the recommended power to a user to facilitate selection of the intraocular lens for implantation.

A non-transitory machine-readable medium comprising a plurality of machine-readable instructions which when executed by one or more processors are adapted to cause the one or more processors to perform a method comprising:

• receiving one or more pre-operative multi-dimensional images of an eye;
• extracting one or more pre-operative measurements of the eye based on the one or more pre-operative images of the eye, wherein the one or more pre-operative measurements of the eye at least include an estimated position of the lens equator determined as an equator line between each of two intersection points of an anterior lens radius and a posterior lens radius, an angle-to-angle width of an anterior chamber of the eye, an angle between a pupillary axis of the eye and a line of sight axis of the eye when vision of the eye is fixated on a fixation point, and a refractive power of a cornea of the eye;
• estimating, using a prediction model based on a machine learning strategy, a post-operative position of an intraocular lens based on the one or more extracted pre-operative measurements of the eye;
• recommending a power of the intraocular lens based on at least the estimated post-operative position of the intraocular lens;
• and
• providing the recommended power to a user to facilitate selection of the intraocular lens for implantation.