Next-Generation Medical Intelligence

Abstract

The combination of Federated Learning (FL) and Collaborative AI has brought significant changes to the healthcare industry due to challenges with data centralization, privacy, and compliance issues. FL allows for decentralized model training in different institutions and does not require raw data to be shared among them, thus protecting patient information while improving the model. Collaborative AI also enhances healthcare innovation through human-AI cooperation, collaboration across institutions, and integration of multiple data modalities. This chapter explores the basics of these paradigms, the technical models, and revolutionary uses of such concepts in diagnosing diseases, imaging, individualized medicine, and remote patient monitoring. Due to the relevance of FL and Collaborative AI, it is possible to develop the next generation of medical intelligence that is smarter, ethical, scalable, and without violating user privacy, ensuring equal access to healthcare for everyone.

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