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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CUB

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Societal Impact:- AI in Public Health Issues,tal problems, ethics, and legislation. Beyond the hype of AI in public health, let us consider the following open issues: possible technological threats, trust in AI, societal changes (with AI), information/data security, and data sharing and privacy concerns.

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,Case Studies—AI for Infectious Disease,aspires to exhaustively evaluate the position of AI as a powerful technique in diagnosing, forecasting, predicting, tracking, and drug development for infectious diseases and their associated pandemic.

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perpetual

Digital Communication: the Role of Contextindividuals..With the exponential rise of disruptive technologies, the growth of biomedical data is increasing rapidly, such as genome sequencing data, medical images, drug perturbation data of healthy, developing, and diseased tissue. Various state-of-the-art technologies aim to learn from these da

骄傲

Data Visualisation and Display Technologiestal problems, ethics, and legislation. Beyond the hype of AI in public health, let us consider the following open issues: possible technological threats, trust in AI, societal changes (with AI), information/data security, and data sharing and privacy concerns.

可忽略

Data Visualisation and Display Technologiesaspires to exhaustively evaluate the position of AI as a powerful technique in diagnosing, forecasting, predicting, tracking, and drug development for infectious diseases and their associated pandemic.