Development of an AI Solution to Evaluate Clinical Activity of TAO Using Periocular Images Taken by Smartphones in Patients With Thyroid Dysfunction

Development of an Artificial Intelligence Solution to Evaluate Clinical Activity of Thyroid Associated Orbitopathy Using Periocular Selfie Images Taken by Smartphones in Patients With Thyroid Dysfunction

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05731154

Enrollment

100

Registered

2023-02-16

Start date

2021-12-22

Completion date

2022-07-25

Last updated

2023-02-16

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

Conditions

Thyroid Eye Disease

Keywords

thyroid eye disease, artificial intelligence, machine learning, smartphone

Brief summary

This study was conducted to develop an AI solution to evaluate clinical activity score (CAS) of thyroid associated orbitopathy (TAO) using periocular selfie images taken by smartphones in patients with thyroid dysfunction. An AI solution to evaluate CAS in TAO was developed in previous retrospective study using periorbital digital images taken by DSLR camera in the studio. This AI solution will be adjusted to show its best performance with periocular selfie images taken by smartphones.

Interventions

OTHERtaking periorbital selfie images using smartphones

taking periorbital selfie images using smartphones

Study design

Observational model

CASE_ONLY

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

19 Years to No maximum

Healthy volunteers

Inclusion criteria

* Patients with thyroid eye disease

Exclusion criteria

* Patients who have prior facial anomaly or surgery * Patients who cannot use smartphone camera app

Design outcomes

Primary

Measure	Time frame	Description
Accuracy for clinical activity score (CAS) of thyroid eye disease (TED)	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for CAS of TED.
Diagnostic accuracy for active thyroid eye disease	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for active thyroid eye disease (TED) which is defined as 3 or more of clinical activity score

Secondary

Measure	Time frame	Description
Accuracy for swelling of eyelids	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for swelling of eyelids
Accuracy for redness of eyelids	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for redness of eyelids
Accuracy for swelling of caruncle	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for swelling of caruncle
Accuracy for swelling of conjunctiva	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for swelling of conjunctiva
Accuracy for redness of conjunctiva	baseline (this study has no intervention)	Accuracy of AI solution using smartphone selfie images for redness of conjunctiva

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026