In the dynamic world of healthcare, a revolutionary transformation is underway, heralded by the integration of Artificial Intelligence (AI). This book delves deep into the essence of AI, beginning with a comprehensive introduction that demystifies what AI truly is, clarifies the distinction between AI, Machine Learning, and Deep Learning, and provides a handy AI Keyword Glossary for easy understanding. As we journey through the history of AI, we encounter the AI boom, marking a pivotal shift in how technology influences our lives.
Venturing into the Marvelous World of AI, we explore its
capabilities in learning, vision, and language understanding, alongside a deep
dive into AI systems, architecture, and the intricacies of designing an AI
product. The narrative then transitions into AI's profound influence on various
industries, with a special focus on healthcare. Through an overview of global
healthcare systems, the book lays the groundwork for understanding the
fundamental elements and challenges within healthcare, setting the stage for
AI's transformative potential.
As we navigate the future of healthcare, the role of AI
technology becomes unmistakably central, acting as a super detective in
diagnostics, enhancing patient engagement, and accelerating drug discovery
among its numerous applications. The book further explores the intricate
relationship between AI and healthcare data, shedding light on machine learning
models, their applications, advantages, and limitations within the healthcare
context.
Diving into the building blocks of healthcare data security,
we address the sensitivity of healthcare data, regulatory challenges, and the
implementation of robust security measures. Real-world applications exemplify
AI's practicality, while emerging technologies such as Blockchain and the
Internet of Medical Things (IoMT) hint at the future landscape.
A pivotal chapter on AI and healthcare ethics, equity, and
regulation underscores the importance of ethical AI, patient consent, privacy,
and the ongoing battle against AI bias. Through case studies and examples,
including IBM Watson for Oncology and Google DeepMind's partnership with the
NHS, the narrative illustrates both triumphs and trials in the AI healthcare
domain.
The journey continues with a glimpse into the future,
emphasizing the development of an AI-ready healthcare workforce, the role of
government and policy in shaping AI in healthcare, and a call to action for
stakeholders. The book concludes with reflections on the future prospects of AI
in healthcare, painting a picture of a landscape where AI and human expertise
converge to create a more efficient, equitable, and innovative healthcare
system.
Author(s) Details:
Kulbir Singh,
University of Illinois Urbana-Champaign, Champaign, IL, USA.
Please see the link here: https://stm.bookpi.org/AHOC/article/view/14035
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