Automatic detection of facial measurements using artificial intelligence

Not Applicable

• Conditions: Orbital, oculoplastic, and adnexal conditions; Eye Diseases

• Registration Number: ISRCTN17529873
• Lead Sponsor: Moorfields Eye Hospital NHS Foundation Trust

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2023-02-03
• Last Update Posted: 27 February 2024
• Study Completion: 2024-08-29

Recruitment & Eligibility

• Status: Ongoing
• Sex: All
• Target Recruitment: 100

Inclusion Criteria

1. Adult patient (aged 18 years or over)
2. Ability to provide informed consent
3. Absence or presence of eyelid abnormality confirmed by an adnexal specialist for the normal and patient group, respectively

Exclusion Criteria

1. Aged under 18 years
2. Unable to provide informed consent

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
AI computer vision product validated by comparing segmentation and parameters extrapolated with clinician segmentation and parameters using Dice coefficient, mean absolute difference, intraclass correlation coefficient and Bland-Altman analysis at a single timepoint

Secondary Outcome Measures

Name	Time	Method
1. Reliability of manual measurements assessed by two different clinicians using Bland-Altman analysis at a single timepoint<br>2. AI computer vision product externally validated using intraclass correlation coefficient and Bland-Altman analysis at a single timepoint