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Study on Artificial Intelligence-assisted diagnosis of Keratoconus Diseases

Studyon artificial intelligence-assisted diagnosis of keratoconus disease

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037484
Enrollment
Unknown
Registered
2020-08-28
Start date
2021-06-01
Completion date
Unknown
Last updated
2020-10-19

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

Conditions

corneal disease

Interventions

Gold Standard:Clinical outcome
Index test:artificial&#32
intelligence&#32
methods

Sponsors

Tianjin Eye Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
12 Years to 45 Years

Inclusion criteria

Inclusion criteria: All the included patients received corneal refractive surgery or other related corneal surgery, and the corneal topography examination results showed that the quality was qualified.

Exclusion criteria

Exclusion criteria: Those who have undergone corneal refractive surgery or have other eye diseases, as well as those who fail the topographical examination.

Design outcomes

Primary

MeasureTime frame
Corneal shape;—

Countries

China

Contacts

Public ContactZou Haohan

Tianjin Eye Hospital

zouhh1995@163.com+86 15922225932

Outcome results

None listed

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