Yuwen Liao
Papers
1
Total Citations
7
H-Index
1
About
Dr. Yuwen Liao is an emerging leader in the integration of artificial intelligence with smart healthcare systems, with a primary focus on autonomous patient transport and wearable sensor technology. In their most cited work, "Application of a Machine Learning Algorithms in a Wrist-Wearable Sensor for Patient Health Monitoring during Autonomous Hospital Bed Transport" (2021, 7 citations), Liao pioneered a novel approach that combines AI-enabled remote automated monitoring (RAMs) with wrist-wearable sensors to free nurses from in-person patient monitoring during inter-ward transportation. This contribution addresses a critical bottleneck in hospital workflow—the safe, efficient movement of patients—by enabling continuous, real-time health tracking without requiring a clinician's physical presence. By demonstrating how machine learning can interpret sensor data to detect physiological changes during autonomous bed transport, Liao's research lays essential groundwork for the next generation of automated hospital logistics. Their work stands at the intersection of robotics, sensor engineering, and clinical safety, offering a scalable solution that could reduce healthcare worker burden while maintaining patient vigilance. As the field of AI-driven hospital automation expands, Liao's contributions represent a vital step toward smarter, safer, and more autonomous clinical environments.
Research Focus
Key Achievements
Top Papers
- 1