Artificial Intelligence in Smart cities and Healthcare

Authors

  • Sowmitha R. Technical University of Munich image/svg+xml
  • Shanmuga Raju S. Dr. N.G.P. Institute of Technology, Coimbatore, India
  • Harshini R. Dr. N.G.P. Institute of Technology, Coimbatore, India
  • Arjuna S. Dr. N.G.P. Institute of Technology, Coimbatore, India
  • Ram Kumar C. Dr. N.G.P. Institute of Technology, Coimbatore, India

DOI:

https://doi.org/10.4108/eetsc.v6i3.2275

Keywords:

Artificial Intelligence, IoT, Smart cities, Healthcare

Abstract

In the era of the Internet of things IoT and Artificial knowledge (AI) continues to define the century.Artificial intelligence refers to a wide term that incorporates machine learning, normal language handling, rule based expert systems, actual robots, and robotic automation . The rise of computerized system and clinical gadgets in securely and productively diagnosing, treating, and planning care is an obvious sign that AI is digging in for the long haul and fill in significance. While AI holds a great deal of potential, the ramifications for essential consideration suppliers should be tended to as it might restrict execution. Since the Epidemic cities in 2019, the healthcare industry has escalated its AI-based advances by 60%. As indicated by the investigation, AI calculations like ANN, RNN/LSTM, CNN/R-CNN, DNN, and SVM/LS-SVMbhas a higher impact on the different smart city domains. Smart city advances the unification of conventional urban infrastructure and information technology (IT) to improve the quality of living and sustainable urban services in the city. To achieve this, smart cities require coordinated effort among the general public as well as private sectors to introduce IT stages to gather and examine massive amounts of information. Simultaneously, it is vital to design effective artificial intelligence (AI) based tools to deal with medical services emergency circumstances in smart urban communities. This paper reviews about the current technologies like artificial intelligence in the healthcare for smart cities.

Downloads

Download data is not yet available.

References

Winston PH. Artificial intelligence. Addison-Wesley Longman Publishing Co., Inc.; 1992 Jan 2.

Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017 Apr 1;69: S36-40. DOI: https://doi.org/10.1016/j.metabol.2017.01.011

Holzinger A, Langs G, Denk H, Zatloukal K, Müller H. Causability and explainability of artificial intelligence in medicine. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2019 Jul;9(4):e1312. DOI: https://doi.org/10.1002/widm.1312

Allam Z, Dhunny ZA. On big data, artificial intelligence and smart cities. Cities. 2019 Jun 1; 89:80-91. DOI: https://doi.org/10.1016/j.cities.2019.01.032

Batty M. Artificial intelligence and smart cities. Environment and Planning B: Urban Analytics and City Science. 2018 Jan;45(1):3-6. DOI: https://doi.org/10.1177/2399808317751169

Voda AI, Radu LD. Artificial intelligence and the future of smart cities. BRAIN. Broad Research in Artificial Intelligence and Neuroscience. 2018 May 8;9(2):110-27.

Luckey D, Fritz H, Legatiuk D, Dragos K, Smarsly K. Artificial intelligence techniques for smart city applications. In International Conference on Computing in Civil and Building Engineering 2020 Aug 18 (pp. 3-15). Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-51295-8_1

Srivastava S, Bisht A, Narayan N. Safety and security in smart cities using artificial intelligence—A review. In2017 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence 2017 Jan 12 (pp. 130-133). IEEE. DOI: https://doi.org/10.1109/CONFLUENCE.2017.7943136

Agarwal PK, Gurjar J, Agarwal AK, Birla R. Application of artificial intelligence for development of intelligent transport system in smart cities. Journal of Traffic and Transportation Engineering. 2015 Jun 24;1(1):20-30.

Bokhari SA, Myeong S. Use of artificial intelligence in smart cities for smart decision-making: A social innovation perspective. Sustainability. 2022 Jan 6;14(2):620. DOI: https://doi.org/10.3390/su14020620

Voda AI, Radu LD. How can artificial intelligence respond to smart cities challenges? In Smart Cities: Issues and Challenges 2019 Jan 1 (pp. 199-216). Elsevier. DOI: https://doi.org/10.1016/B978-0-12-816639-0.00012-0

Kirwan CG, Zhiyong F. Smart cities and artificial intelligence: convergent systems for planning, design, and operations. Elsevier; 2020 May 6.

Golubchikov O, Thornbush M. Artificial intelligence and robotics in smart city strategies and planned smart development. Smart Cities. 2020 Oct 3;3(4). DOI: https://doi.org/10.3390/smartcities3040056

Ahmed S, Hossain M, Kaiser MS, Noor MB, Mahmud M, Chakraborty C. Artificial intelligence and machine learning for ensuring security in smart cities. In Data-driven mining, learning and analytics for secured smart cities 2021 (pp. 23-47). Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-72139-8_2

Veselov G, Tselykh A, Sharma A, Huang R. Applications of Artificial Intelligence in Evolution of Smart Cities and Societies. Informatica. 2021 Jul 15;45(5). DOI: https://doi.org/10.31449/inf.v45i5.3600

Downloads

Published

27-09-2022

How to Cite

[1]
S. R., S. R. S., H. R., A. S., and R. K. C., “Artificial Intelligence in Smart cities and Healthcare”, EAI Endorsed Trans Smart Cities, vol. 6, no. 3, p. e5, Sep. 2022.