Revolutionizing Healthcare Management Through Artificial Intelligence: A Comprehensive Literature Review
The aim of this literature review is to discuss how artificial intelligence has transformed healthcare through new approaches to diagnosis, treatment and management processes. Personalized treatments, earlier disease detection, and more accurate diagnoses are becoming possible through advances in artificial intelligence technologies, including deep learning, natural language processing, and machine learning. Notable applications include therapeutic drug monitoring, robotic surgery, and improved cancer detection. Electronic health records and predictive models are two ways artificial intelligence improves administrative tasks, leading to better overall healthcare efficiency. Privacy, the need for human oversight, and other ethical concerns are some of the challenges that remain despite the obvious benefits of artificial intelligence. This review article highlights the potential benefits and drawbacks of artificial intelligence in revolutionizing healthcare.
Authors
- Siavash Hosseinpour Chermahini (ORCID: https://orcid.org/0000-0001-6112-5956)
- Alaa Abdulrahman Mamieh
- Hiba hatim hummaida Eltayeb
- Nadin ahmed mohammed Istaitia
- Zeina Omar Mallat
Institutions
- University of Georgia (GE)
Publication Details
- Published
- 2025-04-13
- DOI
- https://doi.org/10.1109/wids-psu64963.2025.00057
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00