FindTrial
Sign In

Research on early warning diagnosis and prognosis model of keratoconus based on Artificial Intelligence

Research on early warning diagnosis and prognosis model of keratoconus based on Artificial Intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000039070
Enrollment
Unknown
Registered
2020-10-15
Start date
2020-10-20
Completion date
Unknown
Last updated
2021-01-18

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

Conditions

Keratoconus

Interventions

normal group, Preclinical group and Keratoconus group:Nil

Sponsors

The Second Affiliated Hospital of Medical College of Zhejiang University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: In the normal group 1. Corneal topography, average K value 2 mm; 2. Persistent corneal scar, irregular reflection by ophthalmoscope or ophthalmoscope; 3. The corneal topography was irregular, and I-S > 1.9d.

Exclusion criteria

Exclusion criteria: Patients with history of eyeball surgery, trauma, etc.

Design outcomes

Primary

MeasureTime frame
Corneal topography;Corneal OCT;—

Secondary

MeasureTime frame
Anterior ocular imaging;—

Countries

China

Contacts

Public ContactZhe Xu

The Second Affiliated Hospital of Medical College of Zhejiang University

x_z_dahaizhe@zju.edu.cn+86 13588185867

Outcome results

None listed

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