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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06567028

Enrollment

150

Registered

2024-08-22

Start date

2024-06-01

Completion date

2024-11-01

Last updated

2025-03-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Performance of the Model

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.

Interventions

DIAGNOSTIC_TESTOSPM-Enhanced AI Model

Analyze tumor images using the model developed in our study

Study design

Observational model

OTHER

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

1 Years to 100 Years

Healthy volunteers

Inclusion criteria

● Ocular surface tumor images with histopathological findings

Exclusion criteria

● Low-quality images

Design outcomes

Primary

Measure	Time frame	Description
AUROC	3 months	area under the receiver operating characteristic curve

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026