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Predicting new-onset cardiovascular diseases through deep learning using ocular images: a retrospective cohort study based on physical examination population

Predicting new-onset cardiovascular diseases through deep learning using ocular images: a retrospective cohort study based on physical examination population

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100054870
Enrollment
Unknown
Registered
2021-12-28
Start date
2022-12-01
Completion date
Unknown
Last updated
2022-12-12

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

Conditions

Cardiovascular diseases

Interventions

Group according to gender, age, hypertension and diabetes.:Nil

Sponsors

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Aged >= 18 years; 2. Fundus images meet the quality control standards; 3. The physical examination information is complete, including the clinical data required for the study; 4. There were no cardiovascular diseases discussed in this study at the beginning of follow-up.

Exclusion criteria

Exclusion criteria: 1. Suffering from serious ophthalmic diseases that cannot be seen from the fundus of the eye; 2. Suffering from diseases that may cause secondary cardiovascular diseases; 3. The number of follow-up did not meet the criteria for defining outcome events; 4. Suffering from serious uncontrollable systemic diseases; 5. Suffering from malignant tumor.

Design outcomes

Primary

MeasureTime frame
Fundus photography;Basic information;—

Countries

China

Contacts

Public ContactSun Xufang

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

sunxufang2016@163.com+86 18627770651

Outcome results

None listed

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