Clinical trial · Observational
OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors
Prospective Evaluation of an OSPM-Enhanced Deep Learning Model for Identifying Premalignant and Malignant Ocular Surface Tumors
NCT06567028CI-TRIAL-00087694completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Performance of the Model | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| OSPM-Enhanced AI Model | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- AUROC
- timeFrame
- 3 months
- description
- area under the receiver operating characteristic curve
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 1 Year
- Maximum age
- 100 Years
Show eligibility criteria text
Inclusion Criteria: ● Ocular surface tumor images with histopathological findings Exclusion Criteria: ● Low-quality images
References
Publications (0)
Data not yet available
No reference posted for this study.