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A pilot study using machine-learning-based automatic retinal image analysis (ARIA) with nutrition intervention for the prevention of Alzheimer’s disease and dementia

A pilot study using machine-learning-based automatic retinal image analysis (ARIA) with nutrition intervention for the prevention of Alzheimer’s disease and dementia

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2300077092
Enrollment
Unknown
Registered
2023-10-30
Start date
2023-12-01
Completion date
Unknown
Last updated
2023-11-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alzheimer’s disease and dementia

Interventions

intervention group:multi-nutrient intervention
control group:N/A

Sponsors

Centre for Clinical Research and Biostatistics, The Chinese University of Hong Kong
Lead Sponsor

Eligibility

Sex/Gender
All
Age
50 Years to No maximum

Inclusion criteria

Inclusion criteria: age>50, ARIA-WMH score>0.4, willingness to sign the informed consent, and compliance with the protocol.

Exclusion criteria

Exclusion criteria: those with severe cataracts, glaucoma, atretopsia, corneal plague, poor retinal image quality, and those with known photosensitive seizures will be excluded.

Design outcomes

Primary

MeasureTime frame
brain health index;—

Countries

China

Contacts

Public ContactProf. ZEE Chung-ying, Benny

The Chinese University of Hong Kong

bzee@cuhk.edu.hk+852 2252 8865

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026