Research Project
Yuchen Xie
Current Appointments
PhD Student at UNSWKey Research Areas
Yuchen graduated with a bachelor’s degree in health Promotion at the University of Iowa, and a Master of Science in Public Health from the Johns Hopkins School of Public Health in the USA. She is interested in interdisciplinary research, and gained research experience in the field of health services research at Hopkins and Singapore. Her broad interest in population ageing brought her to Sydney in 2020 to start a project on aged care navigation for older people and their families at UNSW as a PhD student. Her research uses qualitative and quantitative methods to investigate the impact of psychosocial factors and family involvement on access to aged care among older Australians.
Yuchen joined NeuRA in July 2020 as a visiting PhD student and is currently exploring and learning various population ageing projects within Prof Kaarin Anstey’s research program and expects to contribute to the area of Dementia and Aged Care Services, including the additional challenges faced by culturally and linguistically diverse communities.
Publications
2024, 24 Jun
Barriers Experienced by Community-Dwelling Older Adults Navigating Formal Care: Evidence From an Australian Population-Based National Survey
View full journal-article on https://doi.org/10.1177/08982643241263132
2024, 01 Feb
Navigating Community-Based Aged Care Services From the Consumer Perspective: A Scoping Review
View full journal-article on https://doi.org/10.1093/geront/gnad017
2020, 23 Apr
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study
View full journal-article on http://dx.doi.org/10.1016/s2589-7500(20)30060-1
2020, 14 Apr
Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review
View full journal-article on http://dx.doi.org/10.1186/s40662-020-00182-7
2020, 13 Apr
Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening
View full journal-article on http://dx.doi.org/10.1167/tvst.9.2.22
2020, 23 Mar
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy
View full journal-article on http://dx.doi.org/10.1038/s41746-020-0247-1
2019 May
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
View full journal-article on http://dx.doi.org/10.1016/s2589-7500(19)30004-4