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| Format: | Preprint |
| Published: |
2024
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| Online Access: | https://arxiv.org/abs/2407.17494 |
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| _version_ | 1866916335889416192 |
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| author | Nigar, Nishargo |
| author_facet | Nigar, Nishargo |
| contents | The rapid evolution of Artificial Intelligence (AI) has significantly transformed healthcare, particularly in the domain of Remote Patient Monitoring (RPM). This chapter explores the integration of AI in RPM, highlighting real-life applications, system architectures, and the benefits it brings to patient care and healthcare systems. Through a comprehensive analysis of current technologies, methodologies, and case studies, I present a detailed overview of how AI enhances monitoring accuracy, predictive analytics, and personalized treatment plans. The chapter also discusses the challenges and future directions in this field, providing a comprehensive view of AI's role in revolutionizing remote patient care. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_17494 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI in Remote Patient Monitoring Nigar, Nishargo Human-Computer Interaction Artificial Intelligence The rapid evolution of Artificial Intelligence (AI) has significantly transformed healthcare, particularly in the domain of Remote Patient Monitoring (RPM). This chapter explores the integration of AI in RPM, highlighting real-life applications, system architectures, and the benefits it brings to patient care and healthcare systems. Through a comprehensive analysis of current technologies, methodologies, and case studies, I present a detailed overview of how AI enhances monitoring accuracy, predictive analytics, and personalized treatment plans. The chapter also discusses the challenges and future directions in this field, providing a comprehensive view of AI's role in revolutionizing remote patient care. |
| title | AI in Remote Patient Monitoring |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2407.17494 |