AI intelligent lens fitting system and method based on big data analysis

Abstract

The invention discloses an AI intelligent lens fitting system and method based on big data analysis, and the system comprises a client which is used for enabling a doctor to input the cornea information of a patient and the demands of the patient, and obtaining the lens parameter information calculated by an intelligent operation unit; and an intelligent operation platform which is used for performing intelligent AI calculation on lens parameters based on big data, cornea information of the patient and individual requirements of the patient. The method comprises the following steps: S1, acquiring diopter and cornea parameters of a patient by the doctor; s2, inputting the diopter and cornea parameters of the patient at the client and uploading the diopter and the cornea parameters to the intelligent operation platform; s3, inputting personalized requirements of the patient at the client, specifically including focusing on myopia control, focusing on refraction correction and the like; S4, the intelligent operation platform intelligently calculates and stores lens parameters based on the big data, the cornea information of the patient and the personalized requirements of the patient; and S5, the intelligent operation platform feeds back the lens parameters to the client and presents the lens parameters to the doctor. The lens matching efficiency of the doctor for the patient can be greatly improved.

Description

technical field [0001] The invention belongs to the field of intelligent medical software, and in particular relates to an AI intelligent lens fitting system and method. Background technique [0002] At present, contact lenses, especially orthokeratology lenses for correcting myopia, are widely used. Usually, when a patient goes to get glasses, the doctor usually measures them first, or the patient's eye parameters, and then takes a try-on piece with the corresponding parameters for the patient. After wearing it, carry out fitting evaluation, and then determine the lens parameters until the doctor thinks that the lens fits properly, and finally customize the orthokeratology lens for the patient; among them, the efficiency of the fitting evaluation process is relatively low, and it is difficult to achieve the final parameters. Excellent, especially the doctor's fitting qualifications will also have a certain difference in the time required and accuracy of the entire process; ...

AI Technical Summary

Problems solved by technology

[0002] At present, contact lenses, especially orthokeratology lenses for correcting myopia, are widely used. Usually, when a patient goes to get glasses, the doctor usually measures them first, or the patient's eye parameters, and then takes a try-on piece with the corresponding parameters for the patient. After wearing it, carry out fitting evaluation, and then determine the lens parameters until the doctor thinks that the lens fits properly, and finally customize the orthokeratology lens for the patient; among them, the efficiency of the fitting evaluation process is relatively low, and it is difficult to achieve the final parameters. Excellent, especially the doctor's fitting qualifications will also have a certain difference in the time required and accuracy of the entire process; in addition, there is a certain time lag between the lens manufacturer's technology update iteration and the doctor, resulting in the failure of the fitting effect. optimal

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