Approved Study Database
| Ref. No. | Scientific Title | Principal investigator |
|---|---|---|
| 2022.566 | Effects of stand-alone mindfulness practices for people with long COVID-19 symptoms: A randomized controlled trial | Prof. ZHANG Dexing |
| 2023.138 | Integrated mindfulness and meaning programme (IMMP) for Astronaut Families with one absent parent: A randomized controlled trial | Prof. ZHANG Daisy Dexing |
| 2022.429 | Integrated Multi-Component Service Model for Mild Cognitive Impairment Among Older Adults in Community and Primary Care |
Prof. ZHANG Daisy Dexing 張德杏 |
| 2022.267 | Jockey Club Support Project for the Elderly under COVID-19 |
Prof. ZHANG Daisy Dexing 張德杏 |
| 2023.435 | Comparing the Brief Mindfulness Programme of Introducing Mindfulness with HOME Practice Digital App (IMHome) to Standard Mindfulness-Based Cognitive Therapy (MBCT): A Non-inferiority Randomized Controlled Trial for Subthreshold Anxiety and Depression | Prof. ZHANG Daisy Dexing |
| 2024.205 | Sign Your Thoughts – A pilot mixed-method study on mindfulness training for people who are deaf | Prof. ZHANG Daisy Dexing |
| 2022.433 | Pilot Action Research in the Effectiveness of the Somatic Music Therapy Program of Parenting for a Peaceful World |
Prof. ZHANG Daisy 張德杏 |
| 2020.487 | Special project to support elderly singleton or doubleton in the new wave of COVID-19 pandemic |
Prof. ZHANG Daisy 張德杏 |
| 2021.268 | Online integrated mindfulness-meaning programme for depression and anxiety during COVID-19: A pilot randomized controlled trial |
Prof. ZHANG Daisy 張德杏 |
| 2017.525 | Cultural influences on sleep-wake patterns among children and adolescents in Asian regions |
Dr. Zhang Jihui 張繼輝 |
| 2019.375 | The effectiveness of a family carer facilitated lifestyle intervention programme for people with hypertension on blood pressure control in China rural areas: A randomized controlled study |
Mr. ZENG Dejian 曾德建 |
| 2014.273 | Identification of Volatile Organic Compounds (VOC) marker on breath test for evaluates various stage in patients with chronic kidney disease. | Prof. ZEE Chung-Ying, Benny |
| 2014.275 | Identification of Volatile Organic Compounds (VOC) marker on breath test for evaluates the adequacy of hemodialysis in renal failure patients | Prof. ZEE Chung-Ying, Benny |
| 2013.682 | A Pilot Study on Cancer Prognosis Using Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) of Breath Tests | Prof. ZEE Chung-Ying , Benny |
| 2014.237 | A Pilot Study to develop automatic retinal image analysis for screening of Age-related Macular Degeneration (AMD) | Prof. ZEE Chung-Ying , Benny |
| 2013.038 | Automatic retinal image analysis system for predicting stroke and coronary heart disease in patients with type 2 diabetes mellitus | Prof. Zee Chung Ying, Benny |
| 2013.039 | The association between retinal image analysis and subclinical brain lesion from MRI for stroke and dementia in community-based elderly population in Hong Kong: A Cohort Study | Prof. Zee Chung Ying, Benny |
| 2008.368 | International Cross-cultural Field Validation of an EORTC Questionnaire Module for Patients with Primary Liver Cancer | Professor Zee Benny Chung-Ying |
| 2011.419 | Validation of an Automatic System for Detecting and Grading Diabetic Retinopathy | Professor Zee Benny Chung-Ying |
| 2014.025 | Early detection of type 2 diabetes for community-based elderly population using breath analysis by selected ion flow tube mass spectrometry (SIFT-MS) | Prof. ZEE Benny Chung-Ying |
| 2013.037 | Early detection for patients with type 2 diabetes using selected ion flow tube mass spectrometry on breath tests | Prof. ZEE Benny Chung Ying |
| 2012.234 | Proposed continuous diabetic retinopathy grading scales based on digital fundus images | Prof. ZEE Benny Chung Ying |
| 2025.104 | A study to evaluate the effectiveness of TCM intervention for cognitive health risk in patients with type 2 diabetes using AI-based retinal image analysis | Prof. ZEE Benny Chung Ying |
| 2023.653 | The use of automatic retinal image analysis to detect the risk of major depressive disorder | Prof. ZEE Benny Chung Ying |
| 2025.024 | The use of automatic retinal image analysis to detect the risk of anxiety and depression in adolescents | Prof. ZEE Benny Chung Ying |
| 2014.024 | Determination of retinal image characteristics using statistical texture and fractal analysis methods for Alzheimer's disease | Prof. ZEE Benny Chung Ying |
| 2015.391 | Risk stratification for hypertension patients incorporating both clinical and automatic retinal image analysis outcomes |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2016.344 | A Pilot study for the development of an automatic retinal image analysis (ARIA) method for screening individuals with Alzheimer’s Disease (AD) and Dementia |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2017.045 | Historical Cohort Study on Early Detection of Diabetic Nephropathy using Fractal Dimension and Retinal Image Characteristics |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2015.362 | A Pilot Study to develop automatic retinal image analysis for screening of Children with Autism Spectrum Disorder in primary care setting |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2015.096 | The Effect of Stroke Screening on Health-Promoting Lifestyle: A Randomized Controlled Trial based on the Automatic Retinal Image Analysis System (ARIAS) |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2016.181 | Retinal risk factors for stroke and coronary heart disease in patients with type 2 diabetes - Are they different? |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2020.493 | Validation for hemoglobin screening using machine-learning approach with retinal characteristics |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2023.053 | Would COVID-19 infection affects the risk of diabetic complications – A retrospective cohort study based on retinal image analysis for type 2 diabetes |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2022.550 | Detection of neurological disorders for children and adolescents recovered from COVID-19 Infections using a machine-learning-based retinal image analysis approach |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2021.623 | Association between demographic factors and ARIA Health Risk Assessment for a community-based elderly population in Hong Kong | Prof. ZEE Benny Chung Ying |
| 2020.660 | Association between demographic factors and Montreal Cognitive Assessment for a community-based elderly population in Hong Kong | Prof. ZEE Benny Chung Ying |
| 2021.115 | Classification for vascular dementia and Alzheimer’s disease using retinal image analysis based machine-learning approach |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2022.130 | A pilot study for early detection of Autism Spectrum Disorder using a machine learning approach for retinal images | Prof. ZEE Benny Chung Ying |
| 2022.417 | Classification of Autism Spectrum Disorder (ASD) and Global Developmental Delay (GDD) in Young Children using a Machine Learning Approach for Retinal Image Analysis |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2023.243 | Machine-learning approach to determine retinal characteristics for completed blood picture including anemia and HbA1c | Prof. ZEE Benny Chung Ying |
| 2022.140 | A machine-learning approach to determine retinal characteristics for COVID-19 CT value screening | Prof. ZEE Benny Chung Ying |
| 2022.294 | A pilot study using machine-learning-based automatic retinal image analysis (ARIA) with nutrition intervention for the prevention of Alzheimer’s disease and dementia |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2023.482 | A pilot study using retinal image analysis to estimate cognitive health risk of dog owners | Prof. ZEE Benny Chung Ying |
| 2019.556 | A multiple health risk assessment using automatic retinal image analysis (ARIA) for the community. |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2018.318 | Can a Smartphone Retinal Imaging System be used to carry out Automatic Retinal Image Analysis for Stroke Risk Assessment (ARIA-stroke)? |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2019.253 | Anaphylactic/anaphylactoid reactions: experience at a university pediatric department over 17 years |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2018.069 | Association between health-promoting lifestyle and white matter hyperintensities estimated by automatic retinal image analysis (ARIA) as an early marker for dementia: A community cohort study |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2019.641 | Machine-learning approach to determine retinal characteristics for vascular dementia and Alzheimer’s disease |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
| 2019.130 | Screening for diabetic retinopathy (DR) and risk classification for diabetic complications using AI and machine learning methods incorporated with automatic retinal image analysis (ARIA) in General Outpatient Clinics |
Prof. ZEE Benny Chung Ying 徐仲鍈 |
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