GDPR sets strict privacy and data protection requirements for AI systems handling patient data in healthcare, mandating principles like informed consent and data minimization. While creating implement
ation challenges, these requirements drive innovations in privacy-preserving technologies and ethical AI development practices.
Reasons to Read -- Learn:
specific strategies for ensuring GDPR compliance in healthcare AI systems, including practical approaches to data anonymization, impact assessments, and explainable AI implementation
how real healthcare organizations have successfully implemented AI systems under GDPR, with concrete examples from radiology diagnostics and cross-border cancer detection projects
emerging technologies like federated learning and secure multi-party computation that enable AI innovation while maintaining GDPR compliance