A malignant tumor occurrence probability map acquisition and analysis system

By collecting data from multiple sources and constructing artificial intelligence models, a probability map of malignant tumors is generated and analyzed, which solves the problem of low early diagnosis rate of malignant tumors and realizes comprehensive prevention and treatment of malignant tumors.

CN121506531BActive Publication Date: 2026-07-24SECOND MEDICAL CENT OF CHINESE PLA GENERAL HOSPITAL
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Patent Information

Application Number
CN202511684368.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-17
Publication Date
2026-07-24
Estimated Expiration
2045-11-17

AI Technical Summary

Technical Problem

Existing technologies are unable to effectively obtain and analyze the probability profiles of malignant tumors, resulting in a low early diagnosis rate of malignant tumors and hindering the comprehensive development of malignant tumor prevention, control, and treatment.

Method used

The data acquisition and integration module collects patient data from multiple sources and dimensions, uses artificial intelligence to build a prediction model for the probability of malignant tumors, generates and analyzes a probability map of malignant tumors, and combines the map analysis and visualization module for visualization and automatic early warning.

Benefits of technology

It has improved the early diagnosis rate of malignant tumors, promoted the comprehensive development of malignant tumor prevention and treatment, and enabled the accurate prediction of the probability of malignant tumor occurrence and the formulation of prevention plans.

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Abstract

The application discloses a kind of acquisition and analysis system of malignant tumor occurrence probability atlas, belong to the technical field of malignant tumor, including: data acquisition integration module, for collecting patient multi-source data;Data processing atlas acquisition module, for processing patient multi-source data and determining patient characteristic data, according to malignant tumor occurrence probability prediction model, patient characteristic data is identified, determine malignant tumor occurrence probability prediction result, and generate malignant tumor occurrence probability atlas;Atlas analysis visualization module, for analyzing malignant tumor occurrence probability atlas.The present application solves the problem that the existing cannot effectively obtain malignant tumor occurrence probability atlas and analyze, and cannot promote the comprehensive development of malignant tumor prevention and treatment.The present application can effectively obtain malignant tumor occurrence probability atlas and analyze, improve the early diagnosis rate of malignant tumor, and can promote the comprehensive development of malignant tumor prevention and treatment.
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