Eye fundus disease treatment effect prediction method and system and electronic equipment

By constructing a model for the treatment of multiple bottom disease diseases, using the patient's original eye image data to predict the treatment effect, solve the problem of the effect of the treatment of the eye disease disease accurately in existing technologies, and realize the precise predictive prediction and individualized therapy strategy, which has improved the improvement, which has improved the improvement. Medical efficiency.

CN119379689AInactive Publication Date: 2025-01-28BEIJING ZHONGSEN XINHE TECH CO LTD
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
CN202411959229.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-01-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, the treatment effect cannot be accurately predicted in the treatment of fundus diseases, resulting in multiple injections and unnecessary drug side effects.

Method used

By obtaining the patient's original eye image data, process and extract the characteristic data set of the inner layer of the retina, build a reverse propagation neural network model, support vector machine model and logical regression model, conduct separate optimization training, build multiple eye disease treatment prediction models , Used to predict the treatment effect of patients with target patients.

Benefits of technology

Before the start of anti -VEGF treatment, the patient's OCT image accurately predicts the efficacy of the patient's OCT image, reduce the economic and treatment pressure of multi -needle treatment, help doctors develop individualized treatment strategies, and improve medical efficiency and service quality.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119379689A_ABST
    Figure CN119379689A_ABST
Patent Text Reader

Abstract

The invention discloses a fundus disease treatment effect prediction method and system and electronic equipment, and belongs to the technical field of artificial intelligence. The technical problem that the treatment effect cannot be accurately predicted in fundus disease treatment in the prior art is solved. The method comprises the following steps: acquiring original eye image data of a plurality of patients; processing the original eye image data to obtain a retina inner layer image information data set; extracting and analyzing the retina inner layer image information data set to obtain a retina inner layer feature data set; constructing a positive sample data set and a negative sample data set according to the retina inner layer feature data set, constructing a plurality of fundus disease treatment prediction models, and processing the original eye image data of the target patient to obtain a treatment effect prediction result of the target patient. According to the method, the curative effect can be accurately predicted only through the OCT image of the patient before the anti-VEGF treatment starts. The invention is mainly used for predicting the curative effect of the anti-VEGF treatment of the patient.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Diabetes prediction algorithm based on KS model

    CN113921134A

  • Data processing method applied to rail transit system and related device

    CN114462734A

  • Therapeutic effect prediction model training method, therapeutic effect prediction method and electronic equipment

    CN115631850A

  • Imaomics curative effect prediction model for treating brain metastasis of lung cancer by combining whole brain radiotherapy with temozolomide

    CN118380105A

  • Computer-implemented method, system and computer program product for detecting a retinal condition from eye fundus images

    EP3944185A1