MedTrace Logo

AI-Assisted Facial Surgical Planning

NCT04319055 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 17932

Last updated 2021-02-18

No results posted yet for this study

Summary

Computer vision using deep learning architecture is broadly used in auto-recognition. In the research, the deep learning model which is trained by categorized single-eye images is applied to achieve the good performance of the model in blepharoptosis auto-diagnosis.

Conditions

  • Facial Plastic and Reconstructive Surgery
  • Periocular Diseases
  • Orbital Diseases
  • Artificial Intelligence

Sponsors & Collaborators

Principal Investigators

  • Shu-Lang Liao, MD,MPH, EMBA · National Taiwan University Hospital

Eligibility

Min Age
20 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2009-01-01
Primary Completion
2018-12-31
Completion
2019-07-30

Countries

  • Taiwan

Study Locations

More Related Trials

Entities

Companies

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 NCT04319055 on ClinicalTrials.gov