Yujie ZHU

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In the past few years, the development of mobile devices, sensors, communications, and the cloud accelerates the concept of the  Internet of  Things  (IoT)  in research and commercial use. Smart Healthcare as the significant research direction in IoT is in the major trend of development in the field. Numerous researchers and firms have evidenced the IoT-based healthcare system for rehabilitation services can contribute to inpatient rehabilitation and after discharge services. 

Recently, some firms have pay attention to provide AI-based medical imaging analyses services for hospitals in order to improve the efficiency of medical image detection, such as SIEMENS Healthineers, Zebra Medical Vision, and Tencent HealthCare. Moreover, AI is also a hot topic in the academic field. Some researchers have applied deep learning and neural networks to identify and analyze patient’s data in order to assist the rehabilitation process. Baker et al. (2017) also emphasize the significance of applying machine learning in healthcare.
However, most of the research on IoT or AIoT in rehabilitation is focused on a technology perspective and only a few papers focus on the user experience or user centre of IoT or AIoT. Researchers from Microsoft present a guideline of human-AI interaction, which provide applicable design guidelines for AI-infused systems. More design perspective methodologies need to research under the AIoT-supported solution.

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