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Reconstruction Technology to Auxiliary Diagnosis and Guarantee Patient Privacy

NCT05058599 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2021-09-28

No results posted yet for this study

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.

Conditions

  • 3D-reconstruction
  • Patient Privacy
  • Deep Learning
  • Digital Medicine

Interventions

DIAGNOSTIC_TEST

DM

A new technology based on 3D reconstruction and deep learning algorithm to irreversibly erase the biometric attributes whilst retaining the clinical attributes needed for diagnosis and management

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-05-10
Primary Completion
2021-09-20
Completion
2022-01-30

Countries

  • China

Study Locations

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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 NCT05058599 on ClinicalTrials.gov