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The screening of myopia via artificial intelligence represents an challenge in computational medicine. Here, the investigators use "deep learning" to create an automatic diagnostic system for myopia screening using ocular appearance images. The investigator also use this system and conduct clinical trial to validate its performance.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Eligible patients for AI test | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Myopia Intelligent Diagnostic System | Device | An artificial intelligence to make diagnosis of myopia using ocular appearance images |
|
| Measure | Description | Time Frame |
|---|---|---|
| The AUC of the Myopia Intelligent Diagnostic System | up to 3 month |
| Measure | Description | Time Frame |
|---|---|---|
| The sensitivity of the Myopia Intelligent Diagnostic System | up to 3 month | |
| The specificity of the Myopia Intelligent Diagnostic System | up to 3 month |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yahan Yang | Contact | +8615521013933 | yah.yang39@hotmail.com |
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| ID | Term |
|---|---|
| D009216 | Myopia |
| ID | Term |
|---|---|
| D012030 | Refractive Errors |
| D005128 | Eye Diseases |
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