An AI primer: machine learning, federated learning and more

By
The Rhino Team
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March 6, 2023

Artificial intelligence (AI) encompasses technologies that enable machines to perform tasks requiring human intelligence, such as visual perception and decision-making. In healthcare, AI applications include diagnostic tools, data analysis, personalized treatment plans, and remote patient monitoring, all aimed at improving patient outcomes and operational efficiency. Machine learning (ML), a subset of AI, involves algorithms that learn from data to enhance performance in specific tasks, such as analyzing electronic health records to identify patterns and predict patient outcomes. Federated learning (FL) is a distributed ML approach where multiple participants train a model collaboratively without sharing raw data, preserving privacy and security. In healthcare, FL enables institutions to develop robust AI models by leveraging diverse datasets while maintaining data confidentiality, facilitating advancements in diagnostics and personalized care.

For a comprehensive overview, read the full article on Healthcare IT News.

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