Artificial Intelligence in public health: A case study
1 Greenhill School, Addison, Texas, 75001, USA.
2 Manthan International School, Hyderabad, 502032, India.
Review
World Journal of Biology Pharmacy and Health Sciences, 2024, 20(01), 364–377.
Article DOI: 10.30574/wjbphs.2024.20.1.0783
Publication history:
Received on 06 September 2024; revised on 13 October 2024; accepted on 15October 2024
Abstract:
Artificial Intelligence technology has become an innovative tool in global healthcare that helps to manage various problems of scale and complexity. Its use in public health is multifaceted and multivariate extending across early outbreak detection, risk modeling and prediction, efficient vaccine logistics and administration, reducing health disparities, aiding assist in diagnosis, everyday monitoring of chronic diseases, telemedicine and virtual chatbots especially for elderly care, mental health and oncology patients, and community engagement. Despite these huge generational advantages, multiple challenges exist in data quality, security and misuse, individual privacy, contextual application, accountability and oversight and remain primary concerns for universal adoption of artificial intelligence. There is a need for safeguards and a global regulatory framework to responsibly harvest the benefits of artificial intelligence for the advancement of public and community health.
Keywords:
Artificial Intelligence; Health; Diagnosis; Monitoring; Medicine; Data; COVID-19; Cancer; Outbreak; Personalized Medicine; Precision Medicine
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0