Federated Learning and AI for Healthcare 5.0

Price: $360.00
(as of Dec 24,2024 09:03:38 UTC – Details)

ASIN ‏ : ‎ B0CG1C9L84
Publisher ‏ : ‎ IGI Global (December 18, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 420 pages
ISBN-13 ‏ : ‎ 979-8369310823
Item Weight ‏ : ‎ 2.77 pounds
Dimensions ‏ : ‎ 8.5 x 0.94 x 11 inches

Federated Learning and AI for Healthcare 5.0: Advancing Personalized Medicine

In the ever-evolving landscape of healthcare, the integration of federated learning and artificial intelligence (AI) has ushered in a new era of personalized medicine. Federated learning, a decentralized approach to machine learning, allows multiple entities to collaboratively train a shared model while keeping data localized and secure. This revolutionary technique has paved the way for advancements in healthcare 5.0, where patient-centric care is at the forefront.

AI algorithms powered by federated learning have the ability to analyze vast amounts of patient data from various sources, including electronic health records, wearable devices, and genetic information. By pooling this data while maintaining patient privacy, healthcare providers can generate insights and predictions tailored to individual patients, leading to more accurate diagnoses and personalized treatment plans.

One of the key benefits of federated learning in healthcare 5.0 is its ability to adapt and improve over time. As more data is collected and analyzed, AI algorithms can continuously learn and refine their predictions, ultimately leading to better outcomes for patients. Additionally, federated learning enables healthcare providers to leverage the collective knowledge of a global network of institutions, ensuring that the latest research and best practices are incorporated into patient care.

As we enter the era of healthcare 5.0, the combination of federated learning and AI holds immense potential to transform the way we approach healthcare. By harnessing the power of decentralized machine learning, we can unlock new insights, drive innovation, and ultimately deliver more personalized and effective care to patients around the world.
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