Intraocular lenses that improve post-surgical spectacle independent and methods of manufacturing thereof
A Bayesian model for predicting spectacle independence of one or more IOLs based on pre-clinical data (e.g., visual acuity value for one or more defocus values) of an IOL. The Bayesian model is trained to assign appropriate weights for different combinations of defocus values.
1. An optical system configured to select an intraocular lens (IOL) from a plurality of IOLs for manufacture or for implantation into a patient eye, the selected IOL configured or manufactured to improve post-surgical spectacle independence outcome for the patient, the system comprising:
a processor configured to execute programmable instructions stored in a non-transitory computer storage medium; and
a population database comprising clinical data for a plurality of patients implanted with one of the plurality of IOLs, the clinical data comprising information related to spectacle independence for a plurality of values of visual acuity between about −0.2 log MAR and about 1 log MAR at various defocus conditions between about −5D and 0D, wherein the information related to spectacle independence is based on responses of the patients implanted with one of the plurality of IOLs to a questionnaire,
wherein the processor is configured to:
calculate, using Bayesian analysis, for each of the plurality of IOLs, a probability of being spectacle independent for visual acuity equal to a threshold value between about −0.2 log MAR and about 1 log MAR at at least one defocus conditions between about −5D and 0D based on the information related to spectacle independence obtained from the population database and measured or calculated pre-clinical data about the plurality of IOLs; and
identify one of the plurality of IOLs having a higher probability of being spectacle independent for manufacture or for implantation into the patient's eye.
2. The optical system of claim 1 , wherein the processor is further configured to calculate for each of the plurality of IOLs, a probability of being spectacle independent for visual acuity equal to a threshold value between about −0.2 log MAR and about 1 log MAR at at least two or more defocus conditions between about −5D and 0D.
3. The optical system of claim 2 , wherein the processor is further configured to assign a weight to the probability of being spectacle independent for visual acuity equal to a threshold value between about −0.2 log MAR and about 1 log MAR at at least two or more defocus conditions between about −5D and 0D.
4. The optical system of claim 3 , wherein the processor is configured to execute a machine learning algorithm to determine the weight.
5. A method of manufacturing an IOL comprising:
receiving one or more parameters of an IOL selected from a plurality of IOLs based on calculating, using Bayesian analysis, a probability of achieving spectacle independence for the plurality of IOLs from clinical data providing visual acuity at one or more defocus position for the plurality of IOLs in a population of patients implanted with one of the plurality of IOLs, the clinical data comprising responses of the patients to a questionnaire, and measured or calculated pre-clinical data about the plurality of IOLs; and
manufacturing the selected IOL.