Retinal Microvascular by Color Fundus Photography for the Prediction of Mild and Moderate Vascular Cognitive Impairment on the Basis of Deep Learning Algorithm

Deep learning based on retinal vascular abnormalities predicts the recovery of cognitive dysfunction

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR1900027404

Enrollment

Unknown

Registered

2019-11-12

Start date

2019-11-11

Completion date

Unknown

Last updated

2019-11-18

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

Conditions

Cognitive Impairment

Interventions

Case Series:N/A

Eligibility

Sex/Gender

All

Age

45 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age range: 45-80 years old; 2. Health volunteer or the first diagnosis is cerebrovascular disease (cerebral hemorrhage or cerebral infarction); 3. There were no signs of cognitive impairment before stroke; 4. Specialist assessment indicates normal/mild to moderate cognitive impairment; 5. Subjects voluntarily participate in the project and sign the informed consent and complete the CRF; 6. Additional notes: try to screen patients with disease duration <= 1 year;

Exclusion criteria

Exclusion criteria: 1. Dementias, such as lewy body dementia, Pick disease and other causes of cognitive impairment; 2. Unstable vital signs, combined with serious chronic diseases; 3. With contraindications of fundus photography, fundus photography cannot be completed.

Design outcomes

Primary

Measure	Time frame
MMSE;Color Fundus Photography;MOCA;VFT;THINC-it;HAMA;HAMD-24;PDQ-5D;	—

Countries

China

Contacts

Public ContactHuang Dongfeng

The Seventh Affliated Hospital of Sun Yat-Sen University

Huangdf_sysu@163.com+86 13322800919

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 14, 2026