Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review

TL;DR


Summary:

- This article discusses the use of artificial intelligence (AI) in healthcare, specifically in the diagnosis and treatment of diseases. It explores how AI algorithms can analyze medical data, such as medical images and patient records, to assist healthcare professionals in making more accurate and efficient diagnoses.

- The article highlights the potential of AI to improve patient outcomes by enabling earlier detection of diseases, personalized treatment plans, and more efficient allocation of healthcare resources. It also addresses the challenges and ethical considerations surrounding the implementation of AI in healthcare, such as data privacy, bias in algorithms, and the need for human oversight.

- Overall, the article provides insights into the current state of AI in healthcare and its promising future applications, which can have a significant impact on the quality and accessibility of healthcare services.

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