ARTIFICIAL INTELLIGENCE IN PUBLIC HEALTH SURVEILLANCE: OPPORTUNITIES AND PRIVACY CONCERNS
Keywords:
Artificial intelligence, public health monitoring, privacy, data security, epidemic detection, anonymization, consent, cybersecurity, ethics, technological innovations.Abstract
This article analyzes the potential of artificial intelligence (AI) technologies in public health monitoring and the emerging privacy issues. AI is an effective tool for early detection of epidemics, tracking the spread of disease, and effectively managing health resources. At the same time, a number of problems related to personal privacy and data security arise during data collection and processing. The article highlights the importance of anonymization, consent, and cybersecurity measures to ensure privacy, and provides necessary recommendations for the safe and effective use of AI technologies in the health sector.
References
1.
Kourou, K., Exarchos, T. P., Exarchos, K. P., Karamouzis, M. V., & Fotiadis,
D. I. (2020). Machine learning applications in cancer prognosis and prediction.
Computational
and
Structural
Biotechnology
https://doi.org/10.1016/j.csbj.2020.02.010
2.
Journal,
18,
634-644.
Wang, L., & Alexander, C. A. (2021). Artificial intelligence in public health
surveillance: A systematic review. Journal of Biomedical Informatics, 118, 103778.
https://doi.org/10.1016/j.jbi.2021.103778
3.
Price, W. N., & Cohen, I. G. (2019). Privacy in the age of medical big data.
Nature Medicine, 25(1), 37-43. https://doi.org/10.1038/s41591-018-0272-7