Intracranial aneurysm risk prediction method and device based on artificial intelligence

A technology for intracranial aneurysm and risk prediction, which is applied in diagnostic recording/measurement, image data processing, health index calculation, etc.

Inactive Publication Date: 2021-04-09
BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is conceivable that this manual processing method takes a lot of time and energy, and cannot guarantee the accuracy of diagnosis and prediction, and is prone to many problems such as missed detection and low screening efficiency.

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
  • Intracranial aneurysm risk prediction method and device based on artificial intelligence
  • Intracranial aneurysm risk prediction method and device based on artificial intelligence
  • Intracranial aneurysm risk prediction method and device based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0023] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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 provides an intracranial aneurysm risk prediction method and device based on artificial intelligence. The method comprises the steps of obtaining a to-be-predicted medical image, wherein the to-be-predicted medical image at least comprises graphic information of aneurysm; segmenting the to-be-predicted medical image based on a preset feature segmentation model to obtain an aneurysm three-dimensional image, wherein the aneurysm three-dimensional image comprises a pattern of the aneurysm; measuring the aneurysm pattern to obtain characteristic data of the aneurysm; inputting the characteristic data of the aneurysm and preset structured characteristic data into a preset rupture risk prediction model for prediction to obtain rupture risk data; and generating a medical diagnosis report based on the aneurysm three-dimensional image, the characteristic data of the aneurysm and the rupture risk data. According to the method, a deep learning technology is utilized in implementation, the trained learning model is used for performing aneurysm recognition and segmentation on the patient image and completing automatic measurement, the diagnosis time is greatly shortened, and the diagnosis accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of medical aided diagnosis, in particular to an artificial intelligence-based intracranial aneurysm risk prediction method and related devices. Background technique [0002] With the continuous improvement of people's living standards, aneurysm has gradually become a major disease that threatens people's lives and health. Aneurysms are the cause of many serious diseases such as hypertension and coronary heart disease, and early detection and treatment are the best treatment options. [0003] At present, the traditional aneurysm diagnosis method needs to manually preprocess the patient's vascular images, and then perform disease diagnosis and risk prediction on the processed images based on manual experience. It is conceivable that this manual processing method takes a lot of time and energy, and cannot guarantee the accuracy of diagnosis and prediction, and is prone to many problems such as missed detection...

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): A61B5/02A61B5/00G06T7/00G06T7/10G16H15/00G16H50/30
CPCA61B5/02014A61B5/7264A61B5/7267G06T7/0012G06T7/10G16H15/00G16H50/30G06T2207/30096G06T2207/30101G06T2207/20081G06T2207/20084
Inventor 王硕刘清源徐鹏吴俊尹亮姜朋军赵娇
Owner BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products