Artificial Intelligence Clinical Trial
Official title:
Real-world Application of Using Artificial Intelligence in Diagnosing Retinal Diseases
The objective of this study is to apply an artificial intelligence algorithm to diagnose multi-retinal diseases in real-world settings. The effectiveness and accuracy of this algorithm are evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.
Status | Recruiting |
Enrollment | 100000 |
Est. completion date | August 1, 2029 |
Est. primary completion date | August 1, 2028 |
Accepts healthy volunteers | |
Gender | All |
Age group | 1 Year to 100 Years |
Eligibility | Inclusion Criteria: - fundus photography around 45° field which covers optic disc and macula - complete identification information Exclusion Criteria: - insufficient information for diagnosis |
Country | Name | City | State |
---|---|---|---|
China | Wen-Bin Wei | Beijing | Beijing |
Lead Sponsor | Collaborator |
---|---|
Beijing Tongren Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Area under curve | We used the receiver operating characteristic (ROC) curve and area under curve to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases. | 1 month | |
Primary | Sensitivity and specificity | We used sensitivity and specificity to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases. | 1 month | |
Primary | Positive predictive value, negative predictive value | We used positive predictive value and negative predictive value to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases. | 1 month | |
Primary | F1 score | We used F1 score to examine the ability of this artificial intelligence algorism recognition and classification of retinal diseases. | 1 month |
Status | Clinical Trial | Phase | |
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