Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Artificial Intelligence Augmented Public Health Platforms for Community Oriented Predictive Healthcare Analytics and Telemedicine Solutions

Authors
P. Privietha1, *, Dhruva Teja Kandalam Sunil2, K. Thangaraj3, Vikrant Sharma4, 5, Srikanth Cherukuvada6, Thomas Koilraj7
1Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
2Department of Computer Science, Stony Brook, New York, USA
3Associate Professor, Department of IT, Sona College of Technology, Salem, Tamil Nadu, India
4Assistant Professor, Computer Science and Engineering, Graphic Era Hill University, Dehradun, India
5Adjunct Professor, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
6Assistant Professor, Department of CSE (AI & ML), St. Martin’s Engineering College, Dhulapally, Secunderabad, Telangana, India
7Assistant Professor, Department of Mechanical Engineering, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: priviethaprabhakar@gmail.com
Corresponding Author
P. Privietha
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_102How to use a DOI?
Keywords
Artificial Intelligence; Public Health; Predictive Healthcare Analytics; Telemedicine; Community-Oriented Healthcare; Disease Detection; Remote Monitoring; Healthcare Resource Allocation; Big Data
Abstract

Data science blog: AI in public health AI – a tool for predictive healthcare analytics and Telemedicine AI has become a gamechanger for healthcare, transforming the way we analyze the chronic condition as well as treatments across the globe. The paper discusses the incorporation of AI-powered platforms in community-based healthcare systems and their potential in enhancing early detection of diseases, personalized treatment planning, and remote patient monitoring. We analyze AI’s transformation of big data into predictive models that assist in public health trend analysis, healthcare resource allocation, and improvements to telemedicine in areas with limited access to care. While advancements have been significant, concerns around data privacy, bias, regulatory frameworks, and integration with traditional healthcare systems, continue to loom large. This research also delineates some of the ethical implications of the AI applications in health care underlining the significance of the interpretable AI methods and human in the loop approach in cognizant region. Based on case studies and examination of recent developments, we provide a systematic review of future applications of artificial intelligence in public health and telemedicine and recommend steps for a successful implementation in different healthcare facilities.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_102How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - P. Privietha
AU  - Dhruva Teja Kandalam Sunil
AU  - K. Thangaraj
AU  - Vikrant Sharma
AU  - Srikanth Cherukuvada
AU  - Thomas Koilraj
PY  - 2025
DA  - 2025/05/23
TI  - Artificial Intelligence Augmented Public Health Platforms for Community Oriented Predictive Healthcare Analytics and Telemedicine Solutions
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1228
EP  - 1240
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_102
DO  - 10.2991/978-94-6463-718-2_102
ID  - Privietha2025
ER  -