NCT04213183View on ClinicalTrials.gov

Screening and Identifying Hepatobiliary Diseases Via Deep Learning Using Ocular Images

CompletedOBSERVATIONAL
Enrollment

1,789

Participants

Timeline

Start Date

December 1, 2018

Primary Completion Date

January 31, 2020

Study Completion Date

January 31, 2020

Conditions
OphthalmologyArtificial IntelligenceHepatobiliary Disease
Interventions
DIAGNOSTIC_TEST

Hepatobiliary Disorders

The training dataset was used to train the deep learning model, which was validated and tested by the other two datasets.

Trial Locations (1)

510000

Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity, Guangzhou

Sponsors

Collaborators (1)

Aikang Health Care
All Listed Sponsors
collaborator

Third Affiliated Hospital, Sun Yat-Sen University

OTHER

collaborator

Affiliated Huadu Hospital of Southern Medical University

UNKNOWN

collaborator

Aikang Health Care

UNKNOWN

lead

Sun Yat-sen University

OTHER

NCT04213183 - Screening and Identifying Hepatobiliary Diseases Via Deep Learning Using Ocular Images | Biotech Hunter | Biotech Hunter