Trials / Unknown
UnknownNCT05223712
Artificial Intelligence System for the Detection and Prediction of Kidney Diseases Using Ocular Information
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 4,000 (estimated)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Accepted
Summary
This is an retrospective and prospective multicenter study to develop and validate an artificial intelligent (AI) aided diagnosis, therapeutic effect assessment model including chronic kidney disease (CKD) and dialysis patients starting from April 2009, which is based on ophthalmic examinations (e.g. retinal fundus photography, slit-lamp images, OCTA, etc.) and CKD diagnostic and therapeutic data (routine clinical evaluations and laboratory data), to provide a reliable basis and guideline for clinical diagnosis and treatment.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Diagnostic Test: Chronic Kidney Diseases | The development datasets were used to train the deep learning model, which was validated and tested by the other 4 datasets. |
Timeline
- Start date
- 2021-08-28
- Primary completion
- 2022-12-01
- Completion
- 2022-12-01
- First posted
- 2022-02-04
- Last updated
- 2022-02-04
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT05223712. Inclusion in this directory is not an endorsement.