An intelligent diagnosis and treatment instrument for age-related macular degeneration

Abstract

The invention belongs to the field of ophthalmic diagnosis and treatment equipment, and in particular relates to an intelligent diagnosis and treatment system for age-related macular degeneration. The age-related macular degeneration intelligent diagnosis and treatment system of the present invention is composed of a detection module, a wireless transmission module, a feature extraction module, and a diagnosis and treatment module. Detection, the feature extraction module automatically extracts features from the fundus image, and the data obtained by the detection module is transmitted to the diagnosis and treatment module through a wireless transmission module. The diagnosis and treatment module includes a database, a GA-BP neural network diagnosis model and an interface display module, and also establishes a patient's personal data file , can dynamically track the disease data and give a targeted treatment plan to avoid delaying the disease. The system has the effects of low misdiagnosis rate, no dependence on manual labor, nearby detection, and the ability to realize dynamic tracking of patient data.

Description

technical field [0001] The invention belongs to the field of ophthalmic diagnosis and treatment equipment, and in particular relates to an intelligent diagnosis and treatment instrument for age-related macular degeneration. Background technique [0002] With the rapid development of social informatization, the penetration rate and utilization rate of electronic equipment are increasing day by day. People are highly dependent on computers, mobile phones and other devices with electronic screens in their work and life, resulting in an increasing incidence of many eye diseases, and more and more attention has been paid to the diagnosis and treatment of eye diseases. Among retinal diseases, age-related macular degeneration (Age-related Macular Degeneration, AMD) has become one of the main diseases that affect the health and quality of life of the elderly, and is the main cause of blindness commonly seen over the age of 45. Clinically, AMD is divided into two types , that is, ex...

AI Technical Summary

Problems solved by technology

[0012] In the prior art, the fundus images of the eyes are basically taken by independent detection equipment or the research on a certain OCT segmentation technology or the comparison of different fluorescein angiography. These analysis results are obtained by the doctor after analysis. For specific diagnostic conclusions and treatment plans, a small number of studies can simply use the results obtained by the imaging system to match the template library to diagnose whether it meets the characteristics of age-related macular degeneration. It does not give a specific method, and it is difficult to verify the accuracy of the model. It is also not able to cover individual special cases, and there are many possible influencing factors of AMD, such as genetics, immune abnormalities, high blood pressure, etc. The impact of growth on disease development, the existing technology mainly relies on doctor’s experience to diagnose, which is prone to misdiagnosis or inaccurate judgment. Or traumatic chorioretinopathy, the existing technology does not have intelligent diagnosis and treatment equipment specifically for age-related macular degeneration

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