基于图像识别的牙齿健康初筛方法、装置、设备及介质
By integrating multi-source dental image data and utilizing convolutional neural networks and dental anatomical templates, the problems of subjectivity and information fragmentation in existing dental health screenings have been solved, enabling comprehensive and accurate assessment of dental health status and early risk identification, thereby improving the efficiency of oral health management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN YUYA INTELLIGENT TECHNOLOGY CO LTD
- Filing Date
- 2025-11-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for dental health screening rely heavily on doctors' personal experience, are highly subjective, difficult to standardize, and cannot integrate information from different imaging modalities. This results in high rates of missed diagnoses and misdiagnoses, as well as long screening times, making it difficult to meet the needs of large populations for efficient and low-cost initial screening.
By integrating multi-source dental image data, using convolutional neural networks to extract multi-scale features, and combining dental anatomical structure templates to divide and map feature regions, the system analyzes the health status of dental caries, periodontitis, and malocclusion, and generates a comprehensive health score.
It enables a comprehensive and accurate assessment of dental health, identifies early potential risks, provides reliable initial screening data, and improves the efficiency and targeted nature of oral health management.
Smart Images
Figure CN121504870B_ABST