Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2025
Abstract
Recent advancements in the Internet of Things (IoT) and artificial intelligence (AI) are unlocking transformative opportunities across society. One of the most critical challenges addressed by these technologies is the ageing population, which presents mounting concerns for healthcare systems and quality of life worldwide. By supporting continuous monitoring, personal care, and data-driven decision-making, IoT and AI are shifting healthcare delivery from a reactive approach to a proactive one. This paper presents a comprehensive overview of IoT-based systems with a particular focus on the Internet of Healthcare Things (IoHT) and their integration with AI, referred to as the Artificial Intelligence of Things (AIoT). We illustrate the operating procedures of IoHT systems in detail. We highlight their applications in disease management, health promotion, and active ageing. Key enabling technologies, including cloud computing, edge computing architectures, machine learning, and smart sensors, are examined in relation to continuous health monitoring, personalized interventions, and predictive decision support. This paper also indicates potential challenges that IoHT systems face, including data privacy, ethical concerns, and technology transition and aversion, and it reviews corresponding defense mechanisms from perception, policy, and technology levels. Future research directions are discussed, including explainable AI, digital twins, metaverse applications, and multimodal sensor fusion. By integrating IoT and AI, these systems offer the potential to support more adaptive and human-centered healthcare delivery, ultimately improving treatment outcomes and supporting healthy ageing.
Keywords
Internet of Things (IoT), artificial intelligence (AI), Internet of Healthcare Things (IoHT), Artificial Intelligence of Things (AIoT), successful ageing, active ageing, age well, sensor-based technologies
Discipline
Artificial Intelligence and Robotics
Research Areas
Data Science and Engineering
Areas of Excellence
Digital transformation
Publication
Sensors
Volume
25
Issue
19
First Page
1
Last Page
22
ISSN
1424-8220
Identifier
https://doi.org/10.3390/s25196207
Publisher
MDPI
Citation
QIAN, Yuzhou and SIAU, Keng.
Advances in IoT, AI, and sensor‑based technologies for disease treatment, health promotion, successful ageing, and ageing well. (2025). Sensors. 25, (19), 1-22.
Available at: https://ink.library.smu.edu.sg/sis_research/10856
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.3390/s25196207