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AI Application in Achieving Sustainable Development Goal Targeting Good Health and Well-Being: A New Holistic Paradigm

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Control and Information Sciences (CISCON 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1140))

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Abstract

Artificial intelligence is a field of engineering, science, and technology mainly based on computational comprehension with the creation of artifacts for better diagnosis, detection, and treatment of medical emergencies. Such computing advances in past decades catalyzed the integration of digitalized techniques with medicine along with clinical nutrition and mental health. Several AI-based devices and prediction models provide clinical help to various self-management tools. AI application in the healthcare sector targets good health management and well-being of individuals. Such technologies can perform healthcare tasks with better patient engagement and adherence. Still, it is crucial to validate such computational tools with a traditional clinical trial. These AI systems thus should be initially approved and standardized as well as provision of updating should be there.

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Authors and Affiliations

  1. Foods and Nutrition, IIS (Deemed to Be a University), Jaipur, India

    Swai Vyas

  2. Human Development, IIS (Deemed to Be a University), Jaipur, India

    Archana Kumari

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Correspondence to Swai Vyas .

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  1. Electrical and Electronics Engineering Department, Mar Baselios Christian College of Engineering and Technology, Kerala, India

    V. I. George

  2. Instrumentation & Control Engineering, Manipal University, Udupi, Karnataka, India

    K. V. Santhosh

  3. College of Design and Engineering, National University of Singapore, Singapore, Singapore

    Samavedham Lakshminarayanan

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Vyas, S., Kumari, A. (2024). AI Application in Achieving Sustainable Development Goal Targeting Good Health and Well-Being: A New Holistic Paradigm. In: George, V.I., Santhosh, K.V., Lakshminarayanan, S. (eds) Control and Information Sciences. CISCON 2018. Lecture Notes in Electrical Engineering, vol 1140. Springer, Singapore. https://doi.org/10.1007/978-981-99-9554-7_6

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