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De-Identifying Clinical Data for AI: A Technical and Regulatory Guide
What is Medical Data De-Identification? Medical data de-identification involves removing or masking personal details of patients from their health records, such as names, dates, location details, ID numbers, and faces in photos or biometrics. This breaks the link between the medical data and the individual, protecting privacy while allowing AI developers and researchers to use… Continue reading De-Identifying Clinical Data for AI: A Technical and Regulatory Guide The post De-Identifying Clinical Data for AI: A Technical and Regulatory Guide appeared first on Cogitotech.