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Artificial Intelligence System for the Detection and Prediction of Kidney Diseases Using Ocular Information

NCT05223712 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 4000

Last updated 2022-02-04

No results posted yet for this study

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

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.

Sponsors & Collaborators

  • First Affiliated Hospital, Sun Yat-Sen University

    collaborator OTHER

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Yizhi Liu, M.D., Ph.D. · Zhongshan Ophthalmic Center, Sun Yat-sen University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-08-28
Primary Completion
2022-12-31
Completion
2022-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05223712 on ClinicalTrials.gov