Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

AI (artificial intelligence)-based eye health assessment method

A health assessment and eye technology, applied in the field of artificial intelligence medical detection, to achieve the effect of long-term continuous monitoring, simplified hardware structure, and improved friendliness

Inactive Publication Date: 2018-02-09
中科智谷科技发展有限公司
View PDF3 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an AI eye health assessment method to solve the limitations of existing eye health checks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • AI (artificial intelligence)-based eye health assessment method
  • AI (artificial intelligence)-based eye health assessment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] refer to figure 1 , an AI eye health assessment method, characterized in that the assessment method comprises:

[0035] Collect fundus images and basic eye data of users;

[0036] Structural processing of the collected eye basic data;

[0037] Preprocess the user's fundus image before extracting feature attributes;

[0038] Calculate and analyze the extracted feature attributes, and judge the health index;

[0039] Generate a health report and output a health index.

[0040] The fundus image is taken by a fully automatic fundus camera, and the basic ocular data include: intraocular pressure, refractive parameters, spherical lens, cylindrical lens, optical axis and interpupillary distance, wherein the intraocular pressure is measured by a non-contact tonometer. Air jet measurement, refractive parameters, spherical lens, cylindrical lens, optical axis and interpupillary distance are detected by optometry equipment, and refractive parameters are the basis for judging m...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses an AI (artificial intelligence)-based eye health assessment method and belongs to the artificial intelligence medical detection technical field. The method includes thefollowing steps that: a plurality of fundus images and eye basic data are acquired, the acquired data are structurized, eye feature attributes are analyzed, health indexes are provided according to the eye feature attributes; and the fundus image of a user is pre-processed through an image processing algorithm, and feature extraction is performed on the pre-processed fundus image; and an eye health assessment model is constructed through using a deep learning algorithm; and the eye health assessment model is imported through a cloud computing platform, a health report is generated, and an health index is outputted. With the method adopted, the health statuses of eyes can be detected conveniently; a direct feedback can be provided for a user; and disease prevention and daily health management can be facilitated.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence medical detection, in particular to an AI eye health assessment method. Background technique [0002] With the continuous improvement of living standards and quality of life, people pay more and more attention to their physical health. In China, the popularization of smart mobile devices not only brings convenience to people’s lives, but also leads to younger age of eye diseases and the continuous spread of eye sub-health among young and middle-aged people, making future medical treatment change from symptomatic treatment to Prevention, early diagnosis, early treatment, the traditional hospital-centered medical model has been transformed into an individual-based medical model. In recent years, thanks to the continuous development of artificial intelligence-related technologies in medical testing, the realization of artificial intelligence AI health testing has become possible. Ex...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06T7/00A61B3/103A61B3/11A61B3/16
CPCA61B3/103A61B3/111A61B3/165G06T7/0012G06T2207/20081G06T2207/30041G06T2207/30101
Inventor 刘瑞祯张逸轩
Owner 中科智谷科技发展有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com