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Automatic detection of facial measurements using artificial intelligence

FACE AI: automated detection of oculofacial parameters using artificial intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN17529873
Enrollment
100
Registered
2023-02-03
Start date
2023-02-01
Completion date
Unknown
Last updated
2024-02-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Orbital, oculoplastic, and adnexal conditions Eye Diseases

Interventions

Development, evaluation and validation of an artificial intelligence computer vision product through prospective database collection and analysis. Participants will undergo two video consultations wi

Sponsors

Moorfields Eye Hospital NHS Foundation Trust
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

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

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

Design outcomes

Primary

MeasureTime frame
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

MeasureTime frame
1. Reliability of manual measurements assessed by two different clinicians using Bland-Altman analysis at a single timepoint 2. AI computer vision product externally validated using intraclass correlation coefficient and Bland-Altman analysis at a single timepoint

Countries

England, United Kingdom

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026