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The book offers insight into the healthcare system by exploring
emerging technologies and AI-based applications and implementation
strategies. It includes current developments for future directions
as well as covering the concept of the healthcare system along with
its ecosystem. Data-Centric AI Solutions and Emerging Technologies
in the Healthcare Ecosystem focuses on the mechanisms of proposing
and incorporating solutions along with architectural concepts,
design principles, smart solutions, decision-making process, and
intelligent predictions. It offers state-of-the-art approaches for
overall innovations, developments, and implementation of the smart
healthcare ecosystem and highlights medical signal and image
processing algorithms, healthcare-based computer vision systems,
and discusses explainable AI (XAI) techniques for healthcare. This
book will be useful to researchers involved in AI, IoT, Data, and
emerging technologies in the medical industry. It is also suitable
as supporting material for undergraduate and graduate-level courses
in related engineering disciplines.
This book shares new methodologies, technologies, and practices for
resolving issues associated with leveraging AI-centric modeling,
data analytics, ML-aided models, IoT-driven applications, and
cybersecurity techniques in the era of the Industrial Revolution
4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and
Applications focuses on how to implement solutions using models and
techniques to gain insights, predict outcomes, and make informed
decisions. The book presents advanced AI-centric modeling and
analysis techniques that facilitate data analytics and learning in
various applications. It offers fundamental concepts of advanced
techniques, technologies, and tools along with the concept of
real-time analysis systems. It also includes AI-centric approaches
for the overall innovation, development, and implementation of
business development and management systems along with discussing
AI-centric robotics process automation systems that are useful in
many government and private industries. This reference book targets
a mixed audience of engineers and business analysts, researchers,
professionals, and students across various fields.
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