MedTrace Logo

Development and Validation of a Deep Learning-based Myopia and Myopic Maculopathy Detection and Prediction System

NCT05835115 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30526

Last updated 2023-04-28

No results posted yet for this study

Summary

Myopia has become a global public health issue. Myopia affects the psychological health of children and adolescents and poses a financial burden. Therefore, early detection and prediction of children at a high risk of myopia development and progression are critical for precise and effective interventions. In this study, we developed a deep learning system DeepMyopia, based on fundus images with the following objectives: 1) to predict myopia onset and progression; 2) To detect myopic macular degeneration for AI-assisted diagnosis; 3) To predict the development of myopic macular degeneration; 4) evaluate its cost-effectiveness.

Conditions

  • Myopia
  • Myopic Macular Degeneration

Interventions

DIAGNOSTIC_TEST

A deep learning-based myopia and myopic maculopathy detection and prediction system

This deep learning system is capable of analyzing fundus images for myopia staging, myopic maculopathy detection, cycloplegic refraction estimation and prediction, and risk stratification of myopia and myopic maculopathy onset.

Sponsors & Collaborators

  • Shanghai Jiao Tong University School of Medicine

    collaborator OTHER

  • Beijing Friendship Hospital

    collaborator OTHER

  • Peking Union Medical College Hospital

    collaborator OTHER

  • Zhongshan Ophthalmic Center, Sun Yat-sen University

    collaborator OTHER

  • First Affiliated Hospital of Kunming Medical University

    collaborator OTHER

  • The Affiliated Hospital of Inner Mongolia Medical University

    collaborator OTHER

  • First Affiliated Hospital of Xinjiang Medical University

    collaborator OTHER

  • Chinese University of Hong Kong

    collaborator OTHER

  • Shanghai Eye Disease Prevention and Treatment Center

    lead OTHER

Eligibility

Min Age
4 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-04-01
Primary Completion
2023-04-01
Completion
2023-04-01

Countries

  • China

Study Locations

More Related Trials

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 NCT05835115 on ClinicalTrials.gov