An AI-based auxiliary device for pathology detection

By using AI-based auxiliary devices for pathology detection, a three-dimensional cell model is constructed and mechanical simulation is performed, which solves the shortcomings of existing technologies in cell three-dimensional structure reconstruction and lesion development prediction, realizes accurate analysis of the interaction between cancer cells and normal cells, and improves the accuracy and predictive ability of pathology detection.

CN120259293BActive Publication Date: 2025-09-23THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
4 Cites 0 Cited by

Patent Information

Application Number
CN202510733440.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-23
Estimated Expiration
2045-06-04

AI Technical Summary

Technical Problem

Existing pathological detection technologies are unable to effectively reconstruct the three-dimensional structure of cells, cannot fully predict the mechanical effects of the interaction between cancer cells and normal cells, and lack a comprehensive analysis of the development of lesions.

Method used

An AI-based auxiliary device for pathology detection is used to obtain tissue slice images through the slice acquisition module, and a three-dimensional cell model is constructed using the modeling module. The convolutional neural network is combined to perform cell type identification and mechanical simulation to predict changes in pathological tissue.

Benefits of technology

It achieves accurate reconstruction of the three-dimensional structure of cells, can predict the mechanical effects of the interaction between cancer cells and normal cells, improves the reliability of pathological analysis and the accuracy of diagnosis, and provides detailed predictions of the development of lesions.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention relates to the field of medical technology, and specifically to an auxiliary device for pathological detection based on AI. The present invention comprises: a slice acquisition module for acquiring continuous patient tissue slice images; a modeling module for constructing a three-dimensional model of each cell one by one, and a three-dimensional tissue model; an analysis module comprising a trained convolutional neural network, the convolutional neural network for inputting patient tissue slice images and a three-dimensional tissue model to identify the cell type, growth stage, and contour within the patient tissue slice images and the three-dimensional tissue model; a mechanical analysis module for predicting contour changes of each cell in subsequent growth stages, and performing mechanical simulation based on the contour changes to predict the infiltration, diffusion, and proliferation trends of the three-dimensional tissue model under mechanical action. The technical solution of the present invention is used to restore the three-dimensional structure of cells through slicing, and to predict future changes in pathological tissue based on the mechanical action between cells through the three-dimensional structure of the slices.
Need to check novelty before this filing date? Find Prior Art