US-20260124073-A1 - Predictive Analytic Tool for Vision Quality Optimization

Abstract

Provided herein is a predictive analytics tool used for the optimization of vision quality in a subject. The tool uses at least one of an optical quality index of a total eye, an optical quality index of a cornea or a dysfunctional lens index as preoperative conditions input into the tool. The output is a type and at least one outcome of a technology performed on an eye of the subject. A correlation between measured data of preoperative conditions from the cloud library and the input data of preoperative conditions for each component of pre-op conditions is calculated to enable recommendations by a doctor.

Inventors

• Joe S. Wakil

Assignees

• TRACEY TECHNOLOGIES, CORP.

Dates

Publication Date

20260507

Application Date

20251103

Claims (6)

1. 1 . A predictive analytics tool for vision quality optimization in a subject, comprising: a big data multiple input—multiple output (MIMO) cloud library with password access for authorized users thereof, said multiple input data containing at least one component of preoperative conditions and said multiple output data containing a type and at least one outcome of a technology performed on an eye of the subject.
2. 2 . The predictive analytics tool of claim 1 , wherein the at least one component comprises an optical quality index of a total eye, an optical quality index of a cornea or a dysfunctional lens index.
3. 3 . The predictive analytics tool of claim 1 , wherein said multiple input data of preoperative conditions are measured for the subject to be treated.
4. 4 . The predictive analytics tool of claim 1 , wherein a correlation is calculated between measured data of preoperative conditions and the multiple input data of preoperative conditions from the cloud library for each component of pre-op conditions.
5. 5 . The predictive analytics tool of claim 1 , wherein at least one case with a highest correlation of preoperative conditions is selected from the cloud library, and a ranking thereof is defined in a multi-dimensional vector space for each type and the at least one outcome for the technology performed within the multiple output data from the cloud library.
6. 6 . The predictive analytics tool of claim 5 , wherein a list of recommended technologies is output for a final approval by a doctor.

Description

CROSS-REFERENCE TO RELATED APPLICATION This continuation-in-part application claims benefit of priority under 35 U.S.C. § § 120 and 365(c) of international patent application PCT/US 2024/027895, filed May 4, 2024, which claims benefit of priority under 35 U.S.C. § 119(e) of provisional patent application U.S. Ser. No. 63/500,255, filed May 4, 2023, the entirety of all of which are hereby incorporated. BACKGROUND OF THE INVENTION Field of the Invention The present invention relates to the fields of ophthalmology and analytic tools useful in ophthalmologic endeavours. More particularly, the present invention is an ophthalmologic means used for eye examination and treatment, particularly, for eye surgery planning based on measurement of vision quality, as represented by its descriptive components: quality vision index (QVI), cornea performance index (CPI), and dysfunction lens index (DLI), prediction and optimization of surgery outcome, including the choice of the technique, its instrumental support, and objects to be replaced, for example, the intraocular lenses. Description of the Related Art Replacement of the cataractous crystalline lens with the intraocular implant at the end of 40-s by H. Ridley stimulated the search for adequate description of the quality of human vision. F. W. Cambell and R. W. Gubisch in their pioneering studies of the optical quality of the human eye. (J. Physiol., 1966, 186, pp. 558-578) used the modulation transfer function and its Fourier transform, that is linespread function. J. Liang and D. R. Williams paid attention to the role of higher-order aberrations on the retinal image quality (J. Opt. Soc. Am. A, 1997, 11, pp. 2873-2883). In the U.S. Pat. No. 7,357,509, D. R. Wlliams, et al. proposed several metrics to predict the subjective impact of the eye's wavefront aberrations based on wavefront errors or slopes, the area of the critical pupil, a curvature parameter, the point spread function, the optical transfer function, or the like. Other techniques include the fitting of a sphero-cylindrical surface, the use of multivariate metrics, and customization of the metric for patient characteristics such as age. These metrics are insufficient for making prediction for the success of the planned surgery. Parameters of the replacing intraocular lenses and the technologies used for implantation are not taken into account. The experience of similar cases is also to be included into the planning schedule. K. Angelides proposed a management system for developing individualized health improvement plans that includes the internet usage for an individual participant facing a chronic disease or consistent discomfort (U.S. Pat. No. 10,199,126). Its principle is directed to storing the current information on the status of the patient and getting continuously the outside advising. In case of planning an ophthalmologic surgery, doctor needs to use stored experience and data purposely acquired. Adequate for clinical usage is empirical indexing of the quality of vision based on quality vision index QVI, cornea performance index CPI, and dysfunction lens index DLI, calculated from measured aberrations that take into account empirically confirmed inter-aberration interaction of higher-order aberrations of the cornea and of the crystalline lens (F. Faria-Correia, et al. J Refract Surg. 2016, 32, pp. 244-248). Thus, there is a recognized need in the art for an improved means for determining visual corrections and planning a surgery based on the same. Particularly, the prior art is deficient in a predictive analytics tool that utilizes descriptive components of a quality vision index (QVI), a cornea performance index (CPI), and a dysfunction lens index (DLI). The present invention fulfills this long-standing need and desire in the art. SUMMARY OF THE INVENTION The present invention is a predictive analytic tool for vision surgery planning that includes a big data multiple input—multiple output (MIMO) cloud library, an aberrometer with a wave front analyzer, a central processing unit, a multiplexer, a wi-fi modem, and a demultiplexer. On the pre-op stage, based on the aberrometer collected data, the wave front analyzer provides the central processing unit with an index of the optical quality of the eye, an index of the optical quality of the cornea, an index of the lens optical dysfunction, and data on the tear film conditions. The central processing unit, upon getting the requested access to the MIMO cloud library, allows the wi-fi modem to transfer the data from the wave front analyzer to the multiplexer and to upload the data to the cloud library through one of its open multiple inputs. Through one of the open multiple-access cloud library outputs, the central processing unit gets the access to the data stored in the cloud library and chooses the pre-op data maximally correlated with the current patient's data. The requested data are downloaded to the central processing unit through the wi-fi modem an