OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors
Completed
- Conditions
- Performance of the Model
- Registration Number
- NCT06567028
- Lead Sponsor
- Ningbo Eye Hospital
- Brief Summary
An OSPM-enhanced deep learning model has been developed for identifying premalignant and malignant tumors using data retrospectively collected from the Ningbo Eye Hospital, Jiangdong Eye Hospital, and the Eye Hospital of Wenzhou Medical University. To further substantiate the model's effectiveness, we intend to evaluate it prospectively at Ningbo Eye Hospital.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 150
Inclusion Criteria
Ocular surface tumor images with histopathological findings
Exclusion Criteria
Low-quality images
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method AUROC 3 months area under the receiver operating characteristic curve
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Ningbo Eye Hospital
🇨🇳Ningbo, Zhejiang, China