The International Joint Conference on Artificial Intelligence (IJCAI) is the leading conference in the field of Artificial Intelligence. It covers a broad range of research areas in the field of AI. The conference series has been organized by the nonprofit IJCAI Organization since 1969, making it the oldest premier AI conference series which gathers researchers of AI all around the world.
Frailty refers to a multi-dimensional syndrome that may include physical, psychological, cognitive, and social impairments. Frailty is a consequence of the cumulative decline in many physiological systems, resulting in the depletion of homoeostatic reserves such that a minor stressor event can trigger disproportionate changes in health status. It may represent a transition phase between successful ageing and adverse health-related outcomes, including dependency, disability, hospitalization, and death. Hence, frailty is also a condition to target for restoring robustness in at-risk individuals. Early identification and effective intervention for cognitive and physical frailty can potentially reduce the incidence of adverse events, improve frail individuals' quality of life, and reduce healthcare and social costs. However, most existing frailty assessment and intervention programs are conducted in clinical settings, which is neither scalable nor sustainable. Their costs may also be unaffordable to a significant portion of the frail population.
Artificial Intelligence is a seismic force shaping the 21st century and has nurtured one of the largest computer science research communities. Interdisciplinary research and the application of AI technologies in the field of frailty offer potential solutions to improve efforts at the identification and intervention of frailty. AI technologies can help assess the potential risk of frailty and pre-frailty in home and community environments instead of relying on clinical settings alone. AI technologies can also be employed to produce customizable, adaptable, and personalized intervention plans, e.g., for physical exercise, nutrition, and polypharmacy management, to maximize intervention effectiveness.
This seminar aims to bring together researchers, medical practitioners, representatives of potential beneficiaries, relevant members of social groups, relevant industry stakeholders, and potential investors in the field of AI in cognitive and physical frailty, rehabilitation, healthcare, and ageing. We look forward to discussing how AI can assist frail people through early detection and personalized intervention, and how AI can improve the efficiency of the existing healthcare systems through better healthcare delivery and utilization of care resources. Researchers interested in or would like to contribute to AI for cognitive and physical frailty are welcome to attend the seminar.
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Simon Fraser University, Canada |
University of Science and Technology of China, China |
The University of British Columbia, Canada |
Time (GMT+2) | Speaker | Title | Record |
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9:00 AM - 9:05 AM | Prof. Zhiqi Shen | Opening Remarks | |
9:05 AM - 9:40 AM | Prof. Andrew Sixsmith | Turning AgeTech Research into Real-world Products and Services: The AGE-WELL Approach | |
9:40 AM - 9:55 AM | Dr. Di Wang | Computerized Assessment of Frailty in Community Settings | |
9:55 AM - 10:10 AM | Prof. Peng Han | VGE: Gene-Disease Association by Variational Graph Embedding | |
10:10 AM - 10:45 AM | Prof. Martin J. McKeown | The Promise of AI for Elder Healthcare: A Clinician’s Perspective | |
10:45 AM - 11:15 AM | - | - | |
11:15 AM - 11:30 AM | Dr. Xuejiao Zhao | A Person–Environment Fit Model for Aging-in-Place | |
11:30 AM - 11:45 AM | Dr. Hongfei Yang | Frailty Identification Using Machine Learning Methodologies: A Systematic Review | |
11:45 AM - 12:00 PM | Dr. Maryam Mirian | Smartphone-based Automatic Motor Examination for Parkinson's Disease: A Machine Learning-based Explainable Platform for Diagnosis and Severity Evaluation | |
12:00 PM - 12:35 PM | Prof. Huanhuan Chen | Big-data Knowledge Engineering and Its Applications | |
12:35 PM - 12:40 PM | Dr. Di Wang | Closing | |
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