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| Name | Class |
|---|---|
| THYROSCOPE INC. | INDUSTRY |
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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| thyroid eye disease group | Patients who were diagnosed as thyroid eye disease. Periorbital images are taken by DSLR camera in the studio. Periorbital selfie images are taken by the patients with 6 smartphones including various camera modules. CAS of TAO is evaluated by 3 ophthalmologists based on the periorbital digital images taken by DSLR camera and symptoms. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| taking periorbital selfie images using smartphones | Other | taking periorbital selfie images using smartphones |
|
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy for clinical activity score (CAS) of thyroid eye disease (TED) | Accuracy of AI solution using smartphone selfie images for CAS of TED. | baseline (this study has no intervention) |
| Diagnostic accuracy for active thyroid eye disease | 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 | baseline (this study has no intervention) |
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy for redness of eyelids | Accuracy of AI solution using smartphone selfie images for redness of eyelids | baseline (this study has no intervention) |
| Accuracy for redness of conjunctiva | Accuracy of AI solution using smartphone selfie images for redness of conjunctiva |
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Inclusion Criteria:
Exclusion Criteria:
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This study is conducted to develop AI solution using smartphone selfie images. Therefore, the number of subjects for this study was calculated as 200, the maximum number of patients with thyroid eye disease that can be prospectively recruited during the study period.
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| Name | Affiliation | Role |
|---|---|---|
| Namju Kim, MD, PhD. | Seoul National University Bundang Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seoul National University Bundang Hospital | Seongnam-si | Gyeonggi-do | 13620 | South Korea |
IPD will not be shared.
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| baseline (this study has no intervention) |
| Accuracy for swelling of eyelids | Accuracy of AI solution using smartphone selfie images for swelling of eyelids | baseline (this study has no intervention) |
| Accuracy for swelling of conjunctiva | Accuracy of AI solution using smartphone selfie images for swelling of conjunctiva | baseline (this study has no intervention) |
| Accuracy for swelling of caruncle | Accuracy of AI solution using smartphone selfie images for swelling of caruncle | baseline (this study has no intervention) |
| ID | Term |
|---|---|
| D049970 | Graves Ophthalmopathy |
| ID | Term |
|---|---|
| D015785 | Eye Diseases, Hereditary |
| D005128 | Eye Diseases |
| D006111 | Graves Disease |
| D005094 | Exophthalmos |
| D009916 | Orbital Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D006042 | Goiter |
| D013959 | Thyroid Diseases |
| D004700 | Endocrine System Diseases |
| D006980 | Hyperthyroidism |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
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