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Lai Yin

As seen in: Oxford University Press (OUP), Frontiers
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Articles

Exploring nurse- and allied health professional-led opportunistic atrial fibrillation screening with artificial intelligence-enabled devices in community and primary care

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By Lai Yin
| Frontiers
Abstract Undiagnosed atrial fibrillation (AF) is a leading cause of preventable ischemic stroke, particularly in the ageing populations. While traditional screening relies on physician-interpreted 12-lead electrocardiography (ECG), which is considered the gold standard, the increasing availiability of new artificial intelligence (AI)-enabled devices, such as single-lead ECG and photoplethysmography (PPG) tools, offer decentralised and scalable alternatives.
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Mental Health Problems and Social Functioning across Different Treatment Stages in Chinese Subjects with Gender Dysphoria in Hong Kong

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By Pak Wing, Lai Yin, Wai Sharon
| Frontiers
ORIGINAL RESEARCH article Front. Psychiatry Sec. Public Mental Health Mental Health Problems and Social Functioning across Different Treatment Stages in Chinese Subjects with Gender Dysphoria in Hong Kong Provisionally accepted 1Prince of Wales Hospital, Shatin, Hong Kong Region, China 2The University of Hong Kong, Pokfulam, Hong Kong, SAR China 3Asian Academy of Family Therapy, Hong Kong, Hong Kong, SAR China The final, formatted version of the article will be published soon.
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Effects of a culturally tailored low-glycaemic index dietary educational intervention on reducing cardiometabolic risk among Chinese adults with obesity: a randomized controlled trial

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By Lai Yin, Esther Lee Building, New Territories, Tseung Kwan O
| Oxford University Press (OUP)
An assessor-blinded randomized controlled trial was conducted to assess the effect of a culturally tailored low-glycaemic index (GI) dietary educational intervention on body mass index and cardiometabolic risks for Chinese people with obesity in Hong Kong. A total of 166 Chinese adults in Hong Kong with obesity were randomized to the intervention group (n = 83) or the control group (n = 83).
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