[visionlist] Vaegan seminar: A/Prof Kelvin Tsoi (Chinese University of Hong Kong)

Juno Kim juno.kim at unsw.edu.au
Sun Apr 11 01:16:49 -04 2021

Our next Vaegan seminar will be held this coming week on Zoom. Meeting information provided below. If you are not a regular attendee of the Vaegan seminar series, then please RSVP for the password (it is always the same). Best regards, Juno

SPEAKER: A/Prof Kelvin Tsoi (Chinese University of Hong Kong)

TITLE:   Artificial Intelligence for Dementia Screening

DATE/TIME: Friday Apr 16, 2021 01:00 PM Canberra, Melbourne, Sydney (AEST)

LOCATION: Join from PC, Mac, Linux, iOS or Android: https://unsw.zoom.us/j/84876739645
Join our Cloud HD Video Meeting<https://unsw.zoom.us/j/84876739645>
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ABSTRACT:  Drawing, such as a pair of interlocking pentagons, is a useful measurement to evaluate visuospatial functions for people with dementia. With advancement of technology, drawing behaviour can be real-time captured with digital platforms. This presentation proposed digital analytics on a simple drawing platform and hypothesised that this platform can be used for preliminary screening for dementia. Patients with Alzheimer’s disease (AD) and Montreal Cognitive Assessment (MoCA) score below 22 were recruited from the Geriatric Research Clinic, and subjects without AD and with MoCA scores of at least 22 were recruited from the Osteoporosis Research Centre. An automated scoring platform for interlocking pentagons was developed. All drawing behaviour was digitalised, such as the time of drawing for each line and moments of hesitation when drawing lines. Some features of the drawn image were automatically identified, such as overlapped and enclosed pentagons. Total time and image features between AD and controls were analysed. Analytics on the digital behaviour of simple drawing is shown to be an effective method for dementia screening. Machine learning models can be further developed to identify some hidden features of visuospatial impairment among dementia patients. Further investigation with machine learning techniques will increase data interpretability and potentially enhance the diagnostic accuracy for dementia screening.

BIOGRAPHY:  Kelvin Tsoi is an Epidemiologist specialising in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare applications for hypertension management, technological implementation and social engagement for cognitive screening, and artificially intelligent applications for electronic health records. He also works as a traditional epidemiologist on evidence-based medicine and population cohort studies. With his efforts and contributions in the interdisciplinary research, he was awarded both “IBM Honorarium Award” at the International Conference on System Sciences and “The President’s Prize for Best Paper Presentation” at the Annual Scientific Meeting, Hong Kong College of Community Medicine in 2017. In 2019, he set up a social enterprise, DeepHealth Limited, at the Hong Kong Science and Technology Parks to promote artificial intelligent applications of wearable and mobile devices for better health management. He worked with his research collaborators to organise the 1st International Symposium on Digital Health (ISDH2019). He also serves as an advisor in the Society for Innovative Healthcare Hong Kong.

Juno Kim | PhD (Psychology) | Associate Professor
School of Optometry and Vision Science
E: juno.kim at unsw.edu.au<mailto:juno.kim at unsw.edu.au>  | T: +61 2 9065 1218<mailto:juno.kim at unsw.edu.au>
Skype: junokim39
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School of Optometry and Vision Science Mission Statement:
‘Advancing vision and eye health in society through world-class, innovative, multi-disciplinary education and research'

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