Invited Speeches

Invited Speech

AI-Driven Digital Healthcare Technology and System

Ye Li
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

The short-term prediction and prevention of acute cardiovascular and cerebrovascular events remain a formidable clinical challenge. Two key barriers persist: (1) the difficulty of obtaining continuous, real-time (24/7) health data, and (2) the limited accuracy of multi-dimensional big data analytics. To tackle these interdisciplinary challenges—encompassing ubiquitous sensing, intelligent diagnosis, and precise prediction across the entire lifecycle of cardiovascular and cerebrovascular health—this study leverages medical-knowledge-driven artificial intelligence (AI) to systematically investigate novel theories for non-invasive and unobtrusive detection of multiple physiological signals. Our work aims to accelerate the translation of intelligent wearable technologies for continuous health monitoring and the development of corresponding devices. Furthermore, we propose an innovative framework that synergistically integrates multi-dimensional health state representations: real-world electronic medical records (EMRs), wearable-derived data, and imaging-based structural information. This integrated approach significantly improves disease model accuracy and facilitates the clinical implementation of smart healthcare solutions.

Biosketch

Ye Li is the Chair Professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Director of the Institute of Advanced Computing and Digital Engineering, and Deputy Director of the CAS Key Laboratory of Health Informatics. He is a Fellow of the Institution of Engineering and Technology (IET) and the Royal Society for Public Health (RSPH) in the UK. His main research areas include wearable healthcare systems, medical artificial intelligence (AI), and large health models. He has undertaken projects related to precision health from the National Key R&D Program, CAS Pilot Project, National Natural Science Foundation of China, etc. He has published more than 170 papers and was selected as one of the top 2% scientists globally by Stanford University. He serves as an editorial board member or executive editor for renowned international journals such as Information Fusion and Physiological Measurement in the fields of AI and biomedical engineering. He has been granted 82 domestic and international invention patents, 16 of which have been commercialized. He has transferred and developed 3 CFDA registered wearable healthcare devices covering more than 500,000 people annually. He has led 3 national and ITU standards related to e-health and partially contributed to the guidance of health information systems by WHO. Professor Li Ye has won the Guangdong Provincial Science and Technology Invention Award, Patent Award, and the Chinese Medical Association Health Management Award, etc.