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Application of artificial intelligence based on multimodal fundus image data in the diagnosis and treatment of cardiovascular disease

Application of artificial intelligence based on multimodal fundus image data in the diagnosis and treatment of cardiovascular disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100046352
Enrollment
Unknown
Registered
2021-05-14
Start date
2021-05-18
Completion date
Unknown
Last updated
2021-12-21

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

Conditions

Cardiovascular disease

Interventions

case series:None

Sponsors

Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Permanent residents aged 65 and above in Machong Town, Dongguan City.

Exclusion criteria

Exclusion criteria: 1. Combined with other serious eye diseases (uveitis, iris red change, glaucoma, hypertensive retinopathy, diabetic retinopathy, macular degeneration, retinal detachment, retinitis pigmentosa, severe refractive interstitial opacity, high Myopia, etc.); 2. Have received intraocular surgery (such as vitreous surgery, retinal surgery, etc.); 3. Use hormonal drugs, anti-tumor drugs, psychoactive drugs and analgesic drugs within 3 months before and after enrollment.

Design outcomes

Primary

MeasureTime frame
Fundus image data;—

Countries

China

Contacts

Public ContactYang Xiaohong

Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)

syyangxh@scut.edu.cn+86 20 83827812 2118

Outcome results

None listed

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