Titlebook: Artificial Intelligence and Machine Learning in Public Healthcare; Opportunities and So KC Santosh,Loveleen Gaur Book 2021 The Author(s), u

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Privacy, Security, and Ethical Issues,d it is also facing critique from its cynics and passion from die-hard evangelists. Economic forecasters have forecast fiery progress in AI-driven healthcare in the future times. With this exponential growth arises several challenges. It is necessary to explore the privacy, security, ethical aspects

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Book 2021lso helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine

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Privacy, Security, and Ethical Issues,vacy, security, ethical challenges posed by AI in healthcare and recommend ways for resolving them, particularly emphasize the significance of developing an AI-driven healthcare system that is effective and fosters confidence.

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2191-530X d opportunities especially when we consider social factors.SThis book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by

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AI in Sustainable Public Healthcare,we will delve into making the path for a responsible, sustainable, and broad use of AI. Additionally, we will ponder into question: how we can boost innovation and investment to augment well-being, health outcomes, decrease the growth of cost, and reinforce customer satisfaction.

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Introduction to AI in Public Health,uture employment, economic performance, and societal change. With AI becoming an increasingly effective means to automate learning, it creates curiosity; how can society better shape AI for public value? What are the implications for patients, healthcare systems, and the community? This chapter cove