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Reconstruction Technology to Auxiliary Diagnosis and Guarantee Patient Privacy

Using a Reconstruction Technology With Facial Pathological Features to Auxiliary Diagnosis and Guarantee Patient Privacy

NCT05058599•Sun Yat-sen University

View on ClinicalTrials.gov

Summary

Medical data that contain facial images are particularly sensitive as they retain important personal biometric identity, privacy protection. We developed a novel technology called "Digital Mask" (DM), based on real-time three-dimensional (3D) reconstruction and deep learning algorithm, to extract disease-relevant features but remove patient identifiable features from facial images of patients.

Eligibility

Age

All ages

Sex

ALL

Healthy Volunteers

Yes

Inclusion Criteria

•The quality of facial images should be clinically acceptable.

Locations (1)

Zhongshan Ophthalmic Center

Guangzhou, Guangdong, China

Key Dates

Start Date

May 10, 2020

Primary Completion Date

September 20, 2021

Completion Date

January 30, 2022

Last Updated

September 28, 2021

Enrollment

400

ESTIMATED participants

Conditions

3D-reconstructionPatient PrivacyDeep LearningDigital Medicine

Interventions

DIAGNOSTIC_TEST

Contacts

Haotian Lin

CONTACT

13802793086 gddlht@aliyun.com

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: September 28, 2021Data synced to Clareo: March 29, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

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Reconstruction Technology to Auxiliary Diagnosis and Guarantee Patient Privacy

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