Birth defect full-period intelligent management system and method based on multi-modal large model

The multimodal large-scale intelligent management system for the entire life cycle of birth defects has solved the problems of data fragmentation and knowledge lag in birth defect prevention and control, and has achieved precise prevention and control throughout the entire life cycle, improving screening accuracy and prevention and control effectiveness.

CN122050804APending Publication Date: 2026-05-15PEKING UNIVERSITY FIRST HOSPITAL (PEKING UNIVERSITY FIRST CLINICAL MEDICAL COLLEGE) +2
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Patent Information

Application Number
CN202610052200.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-15
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing technologies cannot achieve full-cycle, precise prevention and control of birth defects, and suffer from problems such as data fragmentation, lagging knowledge updates, and limited screening accuracy.

Method used

The system employs a multimodal large-scale model-based intelligent management system for the entire lifecycle of birth defects. Through multimodal data acquisition and preprocessing, medical knowledge graph construction, and multimodal large-scale model analysis, it achieves unified data integration, real-time knowledge updates, and early and accurate identification of complex causes.

Benefits of technology

It has achieved unified integration of medical data at all stages of pregnancy, childbirth, and postpartum, and incorporated the latest clinical research findings in a timely manner, thereby improving the accuracy of screening and prevention and control, and generating quantitative risk level information and personalized prevention and control guidance.

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Abstract

The invention discloses a birth defect full-cycle intelligent management system and method based on a multi-modal large model, and relates to the technical field of artificial intelligence, medical informatics and public health crossing, and the system comprises a multi-modal data acquisition and preprocessing module, a medical knowledge graph construction module and a multi-modal large model analysis module. The multi-modal data acquisition and preprocessing module acquires defect multi-modal data from multiple sources and preprocesses the defect multi-modal data; the medical knowledge graph construction module constructs a medical knowledge graph based on etiology, genetics, diagnosis and treatment guidelines and scientific achievements; and the multi-modal large model analysis module is used for generating risk level information and prevention and control guidance suggestions by combining the multi-modal large model with the knowledge graph processing data. According to the invention, data integration, knowledge updating and accurate identification are realized through multi-module cooperation, a complete technical path from data acquisition to intervention suggestion is established, and an intelligent solution is provided for birth defect full-period prevention and control.
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