Researchfederated learningopen datasetsprivacy enhancing technologiesdynamic consent
Medical Open Databases Accelerate AI-Powered Healthcare
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In a 2026 review in the Journal of Medical Internet Research, researchers led by Albert Yang summarize 25 years of medical open databases and their integration with AI. They detail privacy-enhancing technologies—differential privacy, secure multiparty computation, and federated learning—and Taiwan’s adoption of dynamic consent frameworks to protect patient data. The authors argue these practices accelerate diagnostics and treatment development while balancing research access and confidentiality.
