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OpenTrials
Completed

NCT Number: NCT06567028

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

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.

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Key information

Age range

1 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Ningbo Eye Hospital

Ningbo, Zhejiang, 315040, China

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

● Ocular surface tumor images with histopathological findings

Exclusion criteria

● Low-quality images

Treatment and study plan

OSPM-Enhanced AI Model

Diagnostic Test

Analyze tumor images using the model developed in our study

Primary outcomes

  1. AUROC

    Time frame: 3 months

    area under the receiver operating characteristic curve

Sponsors and collaborators

Lead sponsor

Ningbo Eye Hospital

Other

Registry information

Official study title

Prospective Evaluation of an OSPM-Enhanced Deep Learning Model for Identifying Premalignant and Malignant Ocular Surface Tumors

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Aug 22, 2024
Registry last updated
Mar 26, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.