Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence
Huazhong University of Science and Technology · National University of Singapore · +8 more institutions
Abstract
Intelligent wearable sensors, empowered by machine learning and innovative smart materials, enable rapid, accurate disease diagnosis, personalized therapy, and continuous health monitoring without disrupting daily life. This integration facilitates a shift from traditional, hospital-centered healthcare to a more decentralized, patient-centric model, where wearable sensors can collect real-time physiological data, provide deep analysis of these data streams, and generate actionable insights for point-of-care precise diagnostics and personalized therapy. Despite rapid advancements in smart materials, machine learning, and wearable sensing technologies, there is a lack of comprehensive reviews that systematically…
Citation impact
- FWCI
- 59.62
- Percentile
- 100%
- References
- 348
Authors
15Topics & keywords
- Wearable computer
- Wearable technology
- Computer science
- Health care
- Human–computer interaction
- Intelligent sensor
- Artificial intelligence
- Systems engineering
Funding
- IFInstitute for Health Innovation and Technology, National University of SingaporeAward: A‐0001415‐06‐00
- ARAdvanced Research and Technology Innovation Centre, College of Design and Engineering, National University of SingaporeAward: A‐0005947‐22‐00
- COCollege of Design and Engineering, National University of SingaporeAward: A‐000936304‐00