Artificial intelligence assisted optimized highly myopia intraocular lens degree calculator

Abstract

The invention relates to an artificial intelligence-assisted optimized highly myopia intraocular lens degree calculator using method, which comprises the following steps: S1, inputting basic information of a patient, and substituting the basic information into a Barrett calculation formula to obtain an IOL degree and a corresponding predicted diopter; s2, inputting the obtained IOL degree and diopter into XGBoost model carrying software; s3, outputting the optimized predicted diopter based on the long eye axis; and S4, comparing the optimized predicted diopter with the target diopter. The method has the advantages that the degree of the intraocular lens can be accurately calculated and the postoperative reserved diopter can be predicted before the high-myopia intraocular lens implantation operation, myopia drift or hyperopia drift occurring after the operation can be effectively reduced, and the visual effect after the intraocular lens implantation operation is improved; the postoperative refraction state of a patient with high myopia can be accurately predicted, and the satisfaction degree of the patient is increased.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an artificial intelligence-assisted and optimized high myopia intraocular lens degree calculator. Background technique [0002] During cataract extraction, it is often necessary to select the appropriate reserved diopter and intraocular lens power according to the calculation formula. High myopia is defined as an eyeball with an axial length > 26 mm. Due to a series of special eyeball structural changes in high myopia, such as axial growth, posterior staphyloma, etc., the formula for calculating the intraocular lens power for high myopia should be different from Non-high myopia. At present, the commonly used formulas in the world are generally more suitable for normal axial eyes, but when applied to highly myopic eyes, the prediction error will increase significantly, and refractive accidents such as postoperative hyperopia drift will appear. At present, there are many calc...

AI Technical Summary

Problems solved by technology

[0010] 1) For patients with high myopia, due to the axial growth of the eye axis, posterior staphyloma is common, which will cause large errors in the measurement of eyeball biological parameters, and then lead to inaccurate calculations;

[0011] 2) The postoperative reserved diopter of high myopia is often different from that of emmetropia or low myopia. The target diopter of emmetropia or low myopia is 0, while high myopia often reserves low myopia after surgery to assist For nearsightedness, most of the existing formulas are optimized based on the target diopter being 0 or near 0. For patients...

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