Artificial Intelligence in Healthcare Diagnostics, Personalized Education, and Smart Cities
DOI:
https://doi.org/10.22399/ijcesen.4623Keywords:
Artificial Intelligence, Healthcare Diagnostics, Personalized Education, Smart Cities, Machine Learning, Data AnalyticsAbstract
Artificial Intelligence (AI) has emerged as a transformative technology across multiple domains, significantly improving decision‑making, efficiency, and service delivery. This research paper explores the role of AI in three critical application areas: healthcare diagnostics, personalized education, and smart cities. In healthcare, AI enhances disease detection, medical imaging analysis, and clinical decision support. In education, AI enables adaptive learning, intelligent tutoring systems, and personalized assessment. In smart cities, AI supports traffic management, energy optimization, public safety, and sustainable urban development. The paper discusses architectures, methodologies, benefits, challenges, and ethical considerations, supported by conceptual diagrams. The study highlights how integrated AI systems can contribute to improved quality of life and sustainable development.
References
[1] Russell, S., & Norvig, P., Artificial Intelligence: A Modern Approach, 4th ed., Pearson Education, 2021.
[2] Topol, E., Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again, Basic Books, 2019.
[3] Esteva, A., et al., “A Guide to Deep Learning in Healthcare,” Nature Medicine, vol. 25, no. 1, pp. 24–29, 2019.
[4] Chen, L., Chen, P., & Lin, Z., “Artificial Intelligence in Education: A Review,” IEEE Access, vol. 8, pp. 75264–75278, 2020.
[5] Holmes, W., Bialik, M., & Fadel, C., Artificial Intelligence in Education: Promises and Implications for Teaching and Learning, Center for Curriculum Redesign, 2019.
[6] Batty, M., et al., “Smart Cities of the Future,” European Physical Journal Special Topics, vol. 214, no. 1, pp. 481–518, 2012.
[7] Zanella, A., et al., “Internet of Things for Smart Cities,” IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22–32, 2014.
[8] Floridi, L., et al., “Ethical Challenges of Artificial Intelligence,” AI & Society, vol. 34, no. 2, pp. 389–396, 2018.
[9] World Health Organization, “Ethics and Governance of Artificial Intelligence for Health,” WHO Press, 2021.
[10] OECD, “Artificial Intelligence in Society,” OECD Publishing, 2019.
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