AI and Healthcare: Opportunities and Challenges

Singh, Kulbir (2024) AI and Healthcare: Opportunities and Challenges. B P International. ISBN 978-81-972223-0-6

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Abstract

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.

Through this exploration, "The Rise of Generative AI: From DeepFakes to Creative Arts" offers readers a comprehensive guide to understanding and navigating the complex yet promising world of AI in healthcare. It serves as a beacon for professionals, policymakers, and enthusiasts alike, illuminating the path towards a future where technology and healthcare unite to enhance the human experience.

Item Type: Book
Subjects: GO for STM > Medical Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 12 Apr 2024 06:52
Last Modified: 12 Apr 2024 06:52
URI: http://archive.article4submit.com/id/eprint/2773

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