ace[Design and implementation of a clinical trial image medical record desensitization system based on artificial intelligence technology]
Objective: To designe a clinical trial image medical record desensitization system based on artificial intelligence technology and to conduct preliminary applications, achieving the protection of patient privacy and promoting the safe use of clinical image data in clinical trial projects. Methods: The clinical trial image record desensitization system based on artificial intelligence technology was first performed to preprocess operations, such as cropping and compression on medical images to initialize the imag…
An AI system automatically finds and masks patient identifiers in clinical trial image records, reaching 88.48% average accuracy and 99.40% on serious adverse event documents in sampled checks.
Average accuracy across document types was 88.48%, so some documents were not correctly desensitized, and the system is described as working together with a manual online auxiliary system.
Evidence
- Peer-reviewedBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026-10-18
How should this claim be treated?
Truvace Impact Record TRV-2026-1530, v1: “[Design and implementation of a clinical trial image medical record desensitization system based on artificial intelligence technology].” Truvace, 2026-10-16. /record/TRV-2026-1530 (accessed at citation time). sha256 7899506035ff298c…
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