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

Large-scale artificial intelligence system and method for performing diagnosis based on human body pictures

An artificial intelligence and photo technology, applied in the field of electronic information, can solve the problems of not forming a virtuous circle of mutual confirmation, incomparable with intelligent technology, poor recognition ability, etc., to automatically increase the reflection map, change the thinking and behavior of health care, Accurate effect

Inactive Publication Date: 2018-06-01
SHANGHAI JIAOXUN INTELLIGENT TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the six diagnoses of TCM are independent, and have not formed a virtuous circle of mutual verification and error correction.
And use human eyes to identify the reflection pictures in the six diagnostic methods of traditional Chinese medicine, or the identification ability is poor, or it is easy to miss
Apparently, the ability of identification, comparative analysis, big data storage and application of doctors cannot be compared with that of smart technology

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
  • Large-scale artificial intelligence system and method for performing diagnosis based on human body pictures
  • Large-scale artificial intelligence system and method for performing diagnosis based on human body pictures
  • Large-scale artificial intelligence system and method for performing diagnosis based on human body pictures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] see figure 1 , the display unit 100 includes a computer device and a high-definition display screen. The computer device controls the high-definition display screen through software and hardware, displays the user's human body photos or displays case photos.

[0059] The specific display unit 100 can be transformed into a PC computer, and can control various display modes.

[0060] There is a control device in the video recording unit 200, which can receive the control of the server unit 300, so that the video recording unit 200 can shoot or scan part of the picture in the high-definition display screen, or can shoot or scan the whole picture.

[0061] Specifically, the recording unit 200 can be transformed into a control device by using a PC computer or a single-board computer through the transformation of a camera, or a video camera, or a scanning device. Various functions of the camera unit 200 are realized.

[0062] The server unit 300 is equipped with multiple d...

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 invention relates to a large-scale artificial intelligence system and method for performing diagnosis based on human body pictures. The system includes a display unit, a photographing unit, a server unit, and a smart terminal; the photographing unit and the server unit collect suspected pictures from human body pictures displayed on a high-definition screen according to a six-diagnosis methodof the traditional Chinese medicine. Reflected pictures are collected from case photographs according to the six-diagnosis method of the traditional Chinese medicine. The suspected pictures are compared with the reflected pictures through using software, so that diagnosis content can be generated. An artificial intelligence-based program for automatic statistics and diagnosis automatic improvementis additionally adopted. Using the artificial intelligence technology to diagnose diseases on the basis of photographs according to the six-diagnosis method of the traditional Chinese medicine is a great innovation. With the system and method of the invention adopted, the synergy of a plurality of disease diagnosis methods can be formed, a virtuous cycle of mutual confirmation and error correction can be formed, and disease diagnosis can be improved. The system and method of the invention have the advantages of accurate disease diagnosis, convenient disease diagnosis, wide disease diagnosis range, low disease diagnosis cost, high accuracy in diagnosing early latent diseases and diagnosing early-stage tumors, high market potential and bright development prospect.

Description

technical field [0001] The invention relates to electronic information technology, in particular to a large-scale artificial intelligence system and method for diagnosing diseases based on photos of human bodies. Background technique [0002] According to the theory of traditional Chinese medicine, among the six parts of the human body: palms, backs of hands, face, tongue, ears, eyeballs, soles and insteps, there are reflection maps that reflect the diseases of the internal organs of the human body. Therefore, in China, there are hand diagnosis, face diagnosis, tongue diagnosis, ear diagnosis, eye diagnosis and foot diagnosis, which are collectively referred to as the six diagnosis of Chinese medicine. [0003] The six diagnostic methods of traditional Chinese medicine can diagnose hidden diseases and tumors, which is very miraculous. However, the six diagnoses of TCM are independent, and have not formed a virtuous circle of mutual confirmation and error correction. In add...

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
IPC IPC(8): G16H30/00G16H50/20
CPCG06T7/0012G06T2207/10004
Inventor 许春茂许晋
Owner SHANGHAI JIAOXUN INTELLIGENT TECH CO LTD
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