Patent US10426551 AI Biotech/Diagnostics: General Diagnostics

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Patent US10426551

Issued 2019-10-01

Personalized Refractive Surgery Recommendations For Eye Patients

Aspects extend to methods, systems, and computer program products for providing personalized surgery recommendations for eye patients. Surgery types, and surgery parameters can be recommended for a patient based on predicted post-operative UCVA for the patient if the surgery types and surgery parameters were to be used. Predicting post-operative UCVA can be handled as a regression problem based on patient demography and pre-operative examination details. In an additional aspect, surgery parameters are automatically determined and/or optimized for improved post-operative UCVA by including surgery parameters in a regression model.

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3 Independent Claims

1. A computer system, the computer system comprising: one or more hardware processors; system memory coupled to the one or more hardware processors, the system memory storing instructions that are executable by the one or more hardware processors; the one or more hardware processors executing the instructions stored in the system memory to provide a refractive surgery recommendation for a patient, including the following: access pre-operative eye characteristic data for the patient's eyes, the pre-operative eye characteristic data taken from pre-operative diagnostic procedures performed on the patient; access demographic data for the patient; input the pre-operative eye characteristic data and demographic data into a predictive model in the system memory, the predictive model formulated from other patient data for a plurality of other patients that previously had refractive surgery, the other patient data including, for each other patient included in the plurality of other patients, one or more of: pre-operative eye characteristic data and demographic data, a refractive surgery type, and one or more post-operative uncorrected visual acuity (UCVA) values, each of the one or more post-operative uncorrected visual acuity (UCVA) values measured at a different post-operative time after refractive surgery, the predictive model transforming the pre-operative eye characteristic data and the demographic data of the patient's eye through linear regression to: predict one or more post-operative uncorrected visual acuity (UCVA) maps for the patient, each of the one or more post-operative uncorrected visual acuity (UCVA) maps inferred for a corresponding refractive surgery type based on the patient's pre-operative eye characteristic data and demographic data in view of the other patient data, each uncorrected visual acuity (UCVA) map predicting post-operative uncorrected visual acuity (UCVA) values for the patient at one or more post-operative time periods for the corresponding refractive surgery type; and match the patient to a selected refractive surgery type based on predicted post-operative uncorrected visual acuity (UCVA) values in the one or more uncorrected visual acuity (UCVA) maps for the patient; and recommend the selected refractive surgery type as the refractive surgery recommendation for the patient.
13. A method for use at a computer system, the method for providing a refractive surgery recommendation for a patient, the method comprising the following: accessing pre-operative eye characteristic data for the patient's eyes, the pre-operative eye characteristic data taken from pre-operative diagnostic procedures performed on the patient; accessing demographic data for the patient; inputting the pre-operative eye characteristic data and demographic data into a predictive model, the predictive model formulated from other patient data for a plurality of other patients that previously had refractive surgery, the other patient data including, for each other patient included in the plurality of other patients, one or more of: pre-operative eye characteristic data, demographic data, a refractive surgery type, and one or more post-operative uncorrected visual acuity (UCVA) values, each of the one or more post-operative uncorrected visual acuity (UCVA) values measured at a different post-operative time after refractive surgery, the predictive model transforming the pre-operative eye characteristic data and the demographic data of the patient's eye through linear regression, including: predicting one or more post-operative uncorrected visual acuity (UCVA) maps for the patient, each of the one or more post-operative uncorrected visual acuity (UCVA) maps inferred for a corresponding refractive surgery type based on the patient's pre-operative eye characteristic data and demographic data in view of the other patient data, each uncorrected visual acuity (UCVA) map predicting post-operative uncorrected visual acuity (UCVA) values for the patient at one or more post-operative time periods for the corresponding refractive surgery type; and matching the patient to a selected refractive surgery type based on predicted post-operative uncorrected visual acuity (UCVA) values in the one or more uncorrected visual acuity (UCVA) maps for the patient; and recommending the selected refractive surgery type as the refractive surgery recommendation for the patient.
20. A non-transitory computer-readable storage medium for use at a computer system, the non-transitory computer-readable storage medium comprising computer-executable instructions that, when executed at a processor, cause the computer system to perform a method for providing a refractive surgery recommendation for a patient, the method comprising: accessing pre-operative eye characteristic data for the patient's eyes, the pre-operative eye characteristic data taken from pre-operative diagnostic procedures performed on the patient; accessing demographic data for the patient; inputting the pre-operative eye characteristic data and demographic data into a predictive model, the predictive model formulated from other patient data for a plurality of other patients that previously had refractive surgery, the other patient data including, for each other patient included in the plurality of other patients, one or more of: pre-operative eye characteristic data, demographic data, a refractive surgery type, and one or more post-operative uncorrected visual acuity (UCVA) values, each of the one or more post-operative uncorrected visual acuity (UCVA) values measured at a different post-operative time after refractive surgery, the predictive model transforming the pre-operative eye characteristic data and the demographic data of the patient's eye through linear regression to: predict one or more post-operative uncorrected visual acuity (UCVA) maps for the patient, each of the one or more post-operative uncorrected visual acuity (UCVA) maps inferred for a corresponding refractive surgery type based on the patient's pre-operative eye characteristic data and demographic data in view of the other patient data, each uncorrected visual acuity (UCVA) map predicting post-operative uncorrected visual acuity (UCVA) values for the patient at one or more post-operative time periods for the corresponding refractive surgery type; and match the patient to a selected refractive surgery type based on predicted post-operative uncorrected visual acuity (UCVA) values in the one or more uncorrected visual acuity (UCVA) maps for the patient; and recommend the selected refractive surgery type as the refractive surgery recommendation for the patient.