OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors

Ningbo Eye Hospital150 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

150

Conditions

Performance of the Model

Interventions

OSPM-Enhanced AI ModelDIAGNOSTIC_TEST

Analyze tumor images using the model developed in our study

Eligibility

Sex: ALLMin age: 1 YearMax age: 100 Years

Medical Language ↔ Plain English

Inclusion Criteria: ● Ocular surface tumor images with histopathological findings Exclusion Criteria: ● Low-quality images

Locations (1)

Ningbo Eye Hospital

Ningbo, Zhejiang, China

Outcomes

Primary Outcomes

AUROC

area under the receiver operating characteristic curve

Time frame: 3 months

Data from ClinicalTrials.gov

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