Abstract
This chapter explores the significant impact of Machine Learning (ML) and the Internet of Things (IoT) on smart healthcare management, marking a new era of innovation with enhanced patient care and health outcomes. The fusion of IoT devices for real-time health monitoring with ML algorithms enables personalized medical interventions by analyzing vast amounts of patient data for predictive diagnostics and tailored treatment plans. Furthermore, the integration includes digital twin technology for precise diagnoses and treatments and highlights blockchain’s role in safeguarding data integrity and privacy. Additionally, the chapter examines the broader applications of Artificial Intelligence (AI) in healthcare, such as advanced ML models and natural language processing, to improve healthcare processes and medical analysis. Despite the promising potential of ML and IoT in transforming healthcare, challenges like data security and the development of scalable, interoperable solutions remain. The chapter underscores the crucial influence of ML and IoT in advancing efficient, accessible, and sophisticated healthcare services.
| Original language | English |
|---|---|
| Title of host publication | Studies in Computational Intelligence |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 135-166 |
| Number of pages | 32 |
| DOIs | |
| Publication status | Published - 2024 |
Publication series
| Name | Studies in Computational Intelligence |
|---|---|
| Volume | 1169 |
| ISSN (Print) | 1860-949X |
| ISSN (Electronic) | 1860-9503 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Keywords
- AI-driven diagnostic systems
- Blockchain technology in medicine
- Internet of medical things (IoMT)
- Interoperable health systems
- Predictive health analytics