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AI Classifies Multi-Retinal Diseases

NCT04592068 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2020-12-11

No results posted yet for this study

Summary

The objective of this study is to establish deep learning (DL) algorithm to automatically classify multi-diseases from fundus photography and differentiate major vision-threatening conditions and other retinal abnormalities. The effectiveness and accuracy of the established algorithm will be evaluated in community derived dataset.

Conditions

Interventions

DEVICE

Retinal multi-diseases diagnosed by DL algorithm

DL algorithm automatically classify multi-diseases from fundus photography and differentiate major vision-threatening conditions and other retinal abnormalities.

OTHER

Retinal multi-diseases diagnosed by expert panel

Expert panel classifies multi-diseases from fundus photography and differentiate major vision-threatening conditions and other retinal abnormalities.

Sponsors & Collaborators

  • Beijing Tulip Partner Technology Co., Ltd, China

    collaborator UNKNOWN

  • Beijing Tongren Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-11-01
Primary Completion
2021-11-01
Completion
2021-12-01
FDA Drug
Yes

Countries

  • China

Study Locations

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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 NCT04592068 on ClinicalTrials.gov