A medical record image de-identification method based on a multi-modal large model
By using a multimodal large model for medical record image preprocessing and sensitive information identification, the problem of insufficient generalization ability in traditional medical record image processing is solved, and efficient and automated medical record image de-identification is achieved, adapting to diverse medical institution medical record formats.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 广州中康数字科技有限公司
- Filing Date
- 2026-03-05
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional methods for de-identifying medical record images lack generalization ability when faced with diverse medical record formats from different medical institutions, resulting in low processing efficiency and requiring manual intervention to adjust the rules.
A multimodal large model is used for medical record image preprocessing, multimodal information fusion and sensitive information identification. NLP and reasoning capabilities are used for semantic analysis to identify and locate sensitive information, and de-identified medical record images are generated through pixel filling.
It achieves efficient de-identification of medical records from different medical institutions, reduces manpower and time costs, has strong generalization capabilities, and does not rely on fixed templates or formats.