Status:
COMPLETED
AI-Assisted Facial Surgical Planning
Lead Sponsor:
National Taiwan University Hospital
Collaborating Sponsors:
Stanford University
Conditions:
Facial Plastic and Reconstructive Surgery
Periocular Diseases
Eligibility:
All Genders
20-65 years
Brief 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 t...
Detailed Description
This auto-diagnosis system of blepharoptosis using machine learning architecture will assist in telemedicine, such as early screening of childhood ptosis for prompt referral and treatment. People coul...
Eligibility Criteria
Inclusion
- \[Inclusion Criteria\]
- The participants who were 20-year-old or above,
- Surgical informed consent was endorsed by the participants themselves,
- Participants who have surgical indications of the oculofacial surgeries, and
- The participants who agreed on photograph taking after explanation by the surgeon at outpatient clinics.
- \[Exclusion Criteria\]
- The participants who were 19-year-old or under,
- The participants who don't have surgical indications of the oculofacial surgeries,
- The participants who were designed for minimal invasive treatments, such as Botox or any kind of fillers injection,
- The participants who refused photograph taking for any reason, and
- The participants who are not available for standard quality of photograph taking, such as bedridden patients.
Exclusion
Key Trial Info
Start Date :
January 1 2009
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
July 30 2019
Estimated Enrollment :
17932 Patients enrolled
Trial Details
Trial ID
NCT04319055
Start Date
January 1 2009
End Date
July 30 2019
Last Update
February 18 2021
Active Locations (1)
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1
National Taiwan University Hospital
Taipei, Taiwan