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Completed

NCT Number: NCT05731154

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

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.

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Key information

Conditions

Thyroid Eye Disease Autoimmune Diseases Congenital, Hereditary, and Neonatal Diseases and Abnormalities Endocrine System Diseases Exophthalmos Eye Diseases Eye Diseases, Hereditary Genetic Diseases, Inborn Goiter Graves Disease Graves Ophthalmopathy Hyperthyroidism Immune System Diseases Orbital Diseases Thyroid Diseases

Age range

19 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Seoul National University Bundang Hospital

Seongnam-si, Gyeonggi-do, 13620, South Korea

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with thyroid eye disease

Exclusion criteria

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

Treatment and study plan

taking periorbital selfie images using smartphones

Other

taking periorbital selfie images using smartphones

Primary outcomes

  1. Accuracy for clinical activity score (CAS) of thyroid eye disease (TED)

    Time frame: baseline (this study has no intervention)

    Accuracy of AI solution using smartphone selfie images for CAS of TED.

  2. Diagnostic accuracy for active thyroid eye disease

    Time frame: 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 outcomes

  1. Accuracy for redness of eyelids

    Time frame: baseline (this study has no intervention)

    Accuracy of AI solution using smartphone selfie images for redness of eyelids

  2. Accuracy for redness of conjunctiva

    Time frame: baseline (this study has no intervention)

    Accuracy of AI solution using smartphone selfie images for redness of conjunctiva

  3. Accuracy for swelling of eyelids

    Time frame: baseline (this study has no intervention)

    Accuracy of AI solution using smartphone selfie images for swelling of eyelids

  4. Accuracy for swelling of conjunctiva

    Time frame: baseline (this study has no intervention)

    Accuracy of AI solution using smartphone selfie images for swelling of conjunctiva

  5. Accuracy for swelling of caruncle

    Time frame: baseline (this study has no intervention)

    Accuracy of AI solution using smartphone selfie images for swelling of caruncle

Sponsors and collaborators

Lead sponsor

Seoul National University Bundang Hospital

Other

Collaborators

  • THYROSCOPE INC.

Registry information

Official study title

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

Important dates

Study start
2021
Primary completion
2022
Study completion
2022
First posted
Feb 16, 2023
Registry last updated
Feb 16, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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