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1
A systematic review of 26 studies highlights the need for integrated architectures combining federated learning, blockchain, explainable AI, and incremental optimization.
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2
Current healthcare data management systems face challenges like privacy violations, data fragmentation, and malicious attacks due to centralized data processing.
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3
The review identifies ten critical issues, including communication costs and scalability, that must be addressed for effective integration of the four technologies.
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A hybrid approach can enhance data security, interpretability, and sharing while mitigating risks associated with data sharing in healthcare.
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This study provides a comprehensive framework for leveraging federated learning, blockchain, explainable AI, and incremental optimization in healthcare.
