Scope and Challenges of Artificial Intelligence in Public Health

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Published

2023-12-31

DOI:

https://doi.org/10.56450/JEFI.2023.v1i01.004

Keywords:

Artificial Intelligence, Public Health, Scope, Challenges

Issue

Vol. 1 No. 1 (2023): Journal of the Epidemiology Foundation of India

Section

Review Article

License

Copyright (c) 2023 Tarun Sood, Ekta Sharma, Gurmeet Katoch

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors

  • Tarun Sood Department of Health and Family Welfare, Office of Chief Medical Officer Kangra, at Dharamshala District Kangra, Himachal Pradesh, India
  • Ekta Sharma Department of Health and Family Welfare https://orcid.org/0000-0002-8047-0138
  • Gurmeet Katoch Department of Health and Family Welfare, Office of Chief Medical Officer Kangra, at Dharamshala District Kangra, Himachal Pradesh, India

Abstract

Artificial Intelligence (AI) may be defined as the imitation of human cognition by a machine or software systems which compile integrate and analyse the data through different modes of learning and problem-solving mechanisms for achieving predefined objectives. Its capacity holds assurance for enhancing the effectiveness of public health initiatives aimed at advancing the well-being of diverse populations. This review article delineates the implementation of AI in the realm of public health, exploring its current applications and discussing potential areas for further development and prospects in future.

Artificial Intelligence (AI) may be defined as the imitation of human cognition by a machine or software systems which compile integrate and analyse the data through different modes of learning and problem-solving mechanisms for achieving predefined objectives. Its capacity holds assurance for enhancing the effectiveness of public health initiatives aimed at advancing the well-being of diverse populations. This review article delineates the implementation of AI in the realm of public health, exploring its current applications and discussing potential areas for further development and prospects in future.

How to Cite

Sood, T. ., Sharma, E., & Katoch, G. . (2023). Scope and Challenges of Artificial Intelligence in Public Health. Journal of the Epidemiology Foundation of India, 1(1), 16–19. https://doi.org/10.56450/JEFI.2023.v1i01.004

Author Biographies

Tarun Sood, Department of Health and Family Welfare, Office of Chief Medical Officer Kangra, at Dharamshala District Kangra, Himachal Pradesh, India

District Programme Officer at Department of Health and Family Welfare, Office of Chief Medical Officer Kangra, at Dharamshala District Kangra, Himachal Pradesh, India

Gurmeet Katoch, Department of Health and Family Welfare, Office of Chief Medical Officer Kangra, at Dharamshala District Kangra, Himachal Pradesh, India

Working as Medical Officer Incharge at PHC Mgazine under Department of Health and Family Welfare, Himachal Pradesh, India