AI-Driven Retinal Imaging: Decoding Hidden Health Signals
The retina provides a unique anatomical window, allowing direct observation of microvessels, nerve fibers, and tissue structures. Utilizing advanced AI Retinal Image Analysis, this non-invasive screening captures comprehensive digital fundus images to evaluate vessel diameter, microcirculation, neurodegeneration, and aging Biomarkers.
Early prevention starts with making hidden risk visible. With one non-invasive retinal image, AI can assess signals across heart, brain, eye health, and biological age, helping you understand your health direction before symptoms appear.
AI 偵測：讓隱形訊號清晰可見
AI Detection: Making Invisible Signals Clearly Visible
一掃了解四大健康指標
Uncover Four Key Health Markers, One Scan
0
次眼底拍攝
retinal scan
0
種方案可選
panel options
數分鐘Minutes
完成檢查
to complete
4 合 1 核心
4-in-1 Core
雙眼眼底影像，全面 AI 風險評估
Dual-eye retinal imaging, comprehensive AI risk assessment
整合心血管風險、全身生物年齡、腦健康訊號及眼疾風險，為預防醫學提供清晰起點。
Combines cardiovascular risk, whole-body bio-age, brain health signals, and eye disease risk — a clear starting point for preventive care.
Retinal microvasculature can reflect whole-body vascular health because the eye is one of the few places where small blood vessels can be observed directly. AI evaluates vessel calibre, tortuosity, stiffness markers, branching patterns, and microcirculation features associated with atherosclerosis, vascular ageing, blood-pressure burden, and future cardiovascular event risk.
AI 心血管風險分層，協助辨識低、中、高風險輪廓
視網膜血管口徑、彎曲度、硬化及微循環特徵評估
結合高血壓、膽固醇、糖尿病及生活習慣等風險因素理解結果
提供 5 年風險估算、追蹤方向、醫生諮詢及生活方式建議
AI cardiovascular risk stratification to identify low, moderate, or elevated risk profiles
Assessment of retinal vessel calibre, tortuosity, stiffness, and microcirculation features
Context for risk factors such as blood pressure, cholesterol, diabetes, and lifestyle habits
5-year risk estimate with follow-up direction, clinician discussion points, and action planning
The retina and brain share neural tissue origins and microvascular health signals, so retinal changes can provide clues about cerebrovascular and neurological health. AI identifies retinal patterns associated with cerebrovascular burden, neurodegenerative change, cognitive-health risk, and brain-ageing trajectory, helping reveal early brain-health signals before memory, focus, or cognitive symptoms become obvious.
解碼與大腦退化、神經老化及認知健康相關的視網膜影像模式
辨識腦血管負荷、微血管循環及血管健康風險訊號
評估與記憶、專注力、睡眠壓力及認知健康相關的潛在風險
提供生活方式、風險因素管理及後續監測建議，支援長期腦健康追蹤
Retinal pattern analysis linked to brain degeneration, neural ageing, and cognitive-health signals
Cerebrovascular burden, microvascular circulation, and vascular-health indicators
Risk insight related to memory, focus, sleep stress, and cognitive wellness
Lifestyle, risk-factor management, and follow-up monitoring recommendations for long-term brain health
Retinal imaging directly shows the retina, macula, optic nerve, and microvascular condition, making it a powerful window into eye health. AI screens for risk patterns related to diabetic retinopathy, glaucoma, and macular degeneration, supporting earlier follow-up before vision is noticeably affected and highlighting when further ophthalmic review may be appropriate.
糖尿病視網膜病變、出血、滲漏及微血管損傷風險篩查
青光眼相關視神經杯盤比例及神經纖維風險提示
黃斑退化、中央視力及年齡相關眼疾風險評估
眼科跟進優先次序、報告摘要及轉介建議
Diabetic retinopathy, haemorrhage, leakage, and retinal microvascular damage screening
Glaucoma-related optic nerve, cup-to-disc, and nerve-fibre risk indicators
Macular degeneration, central-vision, and age-related eye-disease risk assessment
Follow-up priority guidance, report summary, and referral recommendations
Retinal images contain signals linked to systemic ageing, vascular condition, metabolic health, and chronic stress load. AI estimates biological age and compares it with chronological age, helping indicate whether the body may be ageing faster than expected and whether factors such as sleep, exercise, diet, blood pressure, glucose, or inflammation deserve attention.
基於眼底影像的全身生物年齡估算，反映身體健康軌跡
生物年齡與實際年齡差距分析，了解老化是否超前
老化速度、血管健康、代謝狀態及生活壓力相關提示
可重複追蹤，觀察運動、飲食、睡眠及風險管理後的趨勢變化
Whole-body biological age estimation from retinal imaging to reflect health trajectory
Gap analysis between biological and chronological age to understand accelerated ageing
Ageing pace, vascular health, metabolic status, and lifestyle-stress indicators
Repeatable tracking to monitor trends after exercise, diet, sleep, and risk-factor changes
選擇健康維度，了解各項檢測內容
Select a health domain to explore each screening area
From booking to report — a simple, premium preventive screening flow.
01
網上預約
Book Online
選擇方案及預約時間
Select a plan and schedule your appointment.
02
眼底拍攝
Retinal Scan
拍攝雙眼眼底，無痛、無輻射，數分鐘完成
Undergo a painless, radiation-free dual-eye retinal scan completed in minutes.
03
AI 分析
AI Analysis
AI深度分析影像，評估潛在健康風險
AI deep-learning analyzes the images to assess potential health risks.
04
收取報告
Get Report
獲取健康及建議報告
Receive your comprehensive health report and personalized recommendations.
個人化方案建議
Personalised Package Guide
尋找您的 AI 視網膜健康篩查方案Find Your Retina AI Scan Package
請勾選所有適用於您的健康關注，我們會即時顯示建議方案。
Tick all concerns that apply to you and see your suggested package instantly.
免責聲明：本評估工具僅供參考及教育用途，並不構成專業醫療建議、診斷或治療。Disclaimer: This assessment tool is for informational and educational purposes only and does not constitute professional medical advice, diagnosis, or treatment.
選擇最適合您的 篩查測試
Choose the Right Screening Test for You
及早發現，個人化預防，可行的健康建議。
Early detection. Personalised prevention. Actionable insights.
還未成為 Virtus Ways 會員？立即加入，尊享 VIP 專屬價格及篩查測試。
Not yet a Virtus Ways member? Join today to access exclusive VIP pricing and enjoy the screening tests.
Single retinal capture combining cardiovascular risk, whole-body bio-age, brain health signals, and eye disease risk — the most complete preventive panel.
Latent health risks Start by reading the health signals in your retina — make hidden risk visible.
AI 腦健康及生物年齡篩查
AI Brain Health & Bio-Age Screening
價格待定
HK$150
風險在於未知。此方案聚焦解碼大腦退化模式，並評估全身生物年齡，適合關注認知健康及老化速度人士。
Risk is in not knowing. This panel decodes brain degeneration patterns and assesses whole-body bio-age — for those monitoring cognitive health and ageing pace.
Eye risk through the retina Diabetic retinopathy, glaucoma, and macular degeneration — detect early, act early.
腦健康 + 眼健康 + 生物年齡篩查
Brain + Eyes + Bio-Age Screening
HK$800
HK$800
結合腦健康與眼健康雙重評估，並同步了解全身生物年齡。適合同時關注認知表現、視力老化及健康軌跡人士。
Combines brain and eye health assessment with whole-body bio-age — for those monitoring cognitive performance, eye ageing, and health trajectory together.
See your heart through your eyes The retina is one of the few places where vascular health can be observed directly — AI makes preventive CVD screening accessible.
Focused on decoding brain degeneration patterns via retinal biomarkers linked to cerebrovascular and cognitive risk — for those monitoring focus, memory, and brain health.
No. This test utilizes advanced, non-mydriatic digital fundus cameras that do not require pupil-dilating eye drops. You only need to remove colored contact lenses before the scan. There is no temporary blurred vision, allowing you to resume daily activities or driving immediately.
AI 篩查結果的準確度如何？它可以代替傳統眼科醫生的檢查嗎？How accurate are the AI screening results? Can this replace a traditional examination by an ophthalmologist?
本系統的 AI 演算法經過數百萬級海量臨床醫學影像的深度學習訓練，對於微血管病變及神經退化特徵的辨識度極高。此篩查旨在提供全身健康風險預警（如心血管及腦健康）。然而，它不能完全取代眼科醫生針對結構性眼疾（如視網膜撕裂）的全面臨床診斷。
Our AI algorithms are trained on millions of high-quality clinical images, delivering exceptional precision in detecting microvascular changes and neurodegenerative biomarkers. This test is designed as an early health risk warning system. While highly accurate for systemic risks, it does not replace a comprehensive, structural clinical eye exam by an ophthalmologist.
患有深度近視、糖尿病或已有眼疾的人士，適合進行這項篩查嗎？Is this screening suitable for individuals with high myopia, diabetes, or pre-existing eye conditions?
Highly recommended. Individuals with chronic conditions (hypertension, diabetes, high cholesterol) or high myopia are naturally at a higher risk for cardiovascular issues, cognitive decline, and ocular diseases. Regular AI retinal tracking helps monitor subtle microvascular shifts, allowing for proactive health management.
我應該隔多久接受一次 AI 眼底影像篩查？How often should I undergo this AI retinal health screening?
Changes in vascular and neural health progress gradually. For optimal preventive care, we recommend individuals to take the screening once a year. For high-risk groups or those whose biological age exceeds their chronological age, a more frequent follow-up may be advised by our clinical team.
科學證據與臨床驗證
Scientific Evidence & Clinical Validation
Gunasekeran DV, Miller S, Hsu W, et al.
National Use of Artificial Intelligence for Eye Screening in Singapore.NEJM AI. 2024.
doi:10.1056/AIcs2400404.
此案例研究介紹 SELENA+ 在新加坡全國糖尿病視網膜病變篩查中的部署與真實世界表現。This case study describes national deployment and real-world performance of SELENA+ for diabetic retinopathy screening in Singapore.
Cheung CY, Ran AR, Wang S, et al.
A Deep Learning Model for Detection of Alzheimer’s Disease Based on Retinal Photographs: A Retrospective, Multicentre Case-Control Study.The Lancet Digital Health. 2022;4:e806–e815.
doi:10.1016/S2589-7500(22)00169-8.
研究顯示，深度學習可利用視網膜照片辨識阿茲海默症相關訊號，並於多中心資料中測試。The study shows that deep learning can identify Alzheimer’s disease-related signals from retinal photographs and was tested across multiple centres.
Rim TH, Lee CJ, Tham YC, et al.
Deep-Learning-Based Cardiovascular Risk Stratification Using Coronary Artery Calcium Scores Predicted from Retinal Photographs.The Lancet Digital Health. 2021;3:e306–e316.
doi:10.1016/S2589-7500(21)00043-1.
研究以視網膜照片推算冠狀動脈鈣化風險，並評估其在心血管風險分層中的應用。The study used retinal photographs to estimate coronary artery calcium-related risk and evaluated its role in cardiovascular risk stratification.
Nusinovici S, Rim TH, Li H, et al.
Application of a Deep-Learning Marker for Morbidity and Mortality Prediction Derived from Retinal Photographs: A Cohort Development and Validation Study.The Lancet Healthy Longevity. 2024;5:100593.
doi:10.1016/S2666-7568(24)00089-8.
研究介紹 RetiPhenoAge，一種由視網膜照片推算的深度學習生物年齡標記。模型以 UK Biobank 資料開發，並於新加坡及美國外部驗證，顯示可預測生物年齡、心血管疾病、發病率及死亡率。Introduces RetiPhenoAge, a deep learning-based biological ageing marker derived from retinal photographs. The model was developed using UK Biobank data and externally validated in Singapore and the USA, demonstrating strong prediction of biological ageing, cardiovascular disease, morbidity, and mortality.
Cho J, Seo J, Park J, et al.
The Distribution of Artificial Intelligence–Derived Retinal Cardiovascular Risk Scores and Conventional Risk Factors in Two Korean Health Screening Cohorts: A Descriptive Study.Cardiovascular Prevention and Pharmacotherapy. 2025;7(3):73–84.
doi:10.36011/cpp.2025.7.e14.
研究分析逾 13.8 萬名受檢者，顯示 AI 視網膜心血管風險分數與年齡、傳統危險因子及冠狀動脈鈣化相關。This study analysed more than 138,000 participants and found that AI-derived retinal cardiovascular scores were associated with age, conventional risk factors, and coronary artery calcium.
上述研究支持 AI 視網膜影像在糖尿病視網膜病變、腦健康及心血管風險篩查中的潛在用途。篩查結果不等同臨床診斷，應由醫護專業人員結合個人情況作出解讀。
These studies support the potential use of retinal AI for diabetic retinopathy, brain-health, and cardiovascular-risk screening. Screening results are not a clinical diagnosis and should be interpreted by qualified healthcare professionals in context.
This health risk screening is for asymptomatic individuals and preventive health management only. It is not intended for medical diagnosis and cannot replace professional clinical examination by a doctor. If you already have relevant symptoms, do not take this screening and seek medical attention directly.
眼疾篩查相關
Eye Screening
AI 主要篩查中度至嚴重糖尿眼，初期或輕微病變未必標記。本檢測不能替代眼科醫生的臨床診斷。
AI primarily screens for moderate to severe diabetic eye disease; early or mild changes may not be flagged. This test cannot replace clinical diagnosis by an ophthalmologist.
頁內資料僅供健康教育及服務介紹用途，不構成醫療建議或診斷。
Content is for health education and service information only, and does not constitute medical advice or diagnosis.
