Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations

H. J., Shanthi and Gokulakrishnan, A. and Sharma, Sushil and Deepika, R. and Swadhi, R. (2024) Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In: Nexus of AI, Climatology, and Urbanism for Smart Cities. IGI Global Scientific Publishing, pp. 275-306.

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Abstract

Shanthi H. J. Hindustan Institute of Technology and Science, India https://orcid.org/0009-0005-0247-0713 A. Gokulakrishnan Vels Institute of Science, Technology, and Advanced Studies, India Sushil Sharma Saraswathi Institute of Medical Sciences, Hapur, India R. Deepika Rajalakshmi School of Business, India https://orcid.org/0000-0002-2818-9867 R. Swadhi Academy of Maritime Education and Training, India https://orcid.org/0000-0002-0761-8263 Leveraging Artificial Intelligence for Enhancing Urban Health Applications, Challenges, and Innovations

This chapter explores how artificial intelligence (AI) is reshaping urban health systems in response to climate change. It investigates AI's impact on managing health risks associated with heatwaves, air pollution, and vector-borne diseases. The chapter highlights AI's contributions to predictive analytics, personalized medicine, and real-time health monitoring. It includes case studies on AI applications for forecasting heat stress, monitoring air quality, and tracking disease outbreaks, demonstrating their effectiveness in mitigating climate-related health risks. Additionally, the chapter discusses the necessity of interdisciplinary collaboration and the ethical considerations surrounding AI use in urban health. It concludes with recommendations for integrating AI solutions into urban health strategies, aiming to enhance resilience and preparedness for climate-induced health challenges.
chapter 10 2024 10 25 275 306 10.4018/979-8-3693-5918-1.ch010 20241223014116 https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5918-1.ch010 https://www.igi-global.com/viewtitle.aspx?TitleId=366619

Item Type: Book Section
Subjects: Computer Science Engineering > Artificial Intelligence
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 22 Aug 2025 06:44
Last Modified: 22 Aug 2025 06:44
URI: https://ir.vistas.ac.in/id/eprint/10408

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