NCT05058599

Reconstruction Technology to Auxiliary Diagnosis and Guarantee Patient Privacy

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 400 (estimated)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Accepted

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

Type	Name	Description
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

Timeline

• Start date: 2020-05-10
• Primary completion: 2021-09-20
• Completion: 2022-01-30
• First posted: 2021-09-28
• Last updated: 2021-09-28

Locations

1 site across 1 country: China