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Development and Evaluation of an Intelligent Diagnosis System for Dry Eye Disease Based on Confocal Microscopy

NCT07614347 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 75

Last updated 2026-05-29

No results posted yet for this study

Summary

Dry eye disease is a major ophthalmic health issue that severely affects the visual function and quality of life of the national population. Its core pathological mechanism involves a vicious cycle of ocular surface inflammation and neural abnormalities; however, clinical practice still lacks an objective and quantitative gold standard for diagnosis. Although in vivo confocal microscopy (IVCM) enables cellular-level, in vivo observation of the ocular surface, image analysis remains heavily dependent on manual interpretation, highlighting an urgent need for an intelligent quantitative framework.This project aims to construct a high-quality, standardized ocular surface imaging database and develop a high-precision deep learning algorithm to achieve accurate segmentation and quantification of corneal nerves (including both whorl-like and linear patterns) and inflammatory cells, and to validate their associations with clinical indicators of dry eye disease. The ultimate goal is to develop and evaluate an IVCM-based multimodal intelligent diagnostic system for dry eye, transforming IVCM from an observational tool into an intelligent decision-support system, with real-world performance validated through an independent prospective cohort.This project is expected to establish a multimodal AI diagnostic model for dry eye, create a standardized computational framework for imaging biomarkers, and enable a paradigm shift from qualitative description to quantitative diagnosis. The findings will provide reliable decision-making support for precision subtyping and personalized treatment of dry eye disease, advancing ophthalmic practice toward a data-driven, intelligent paradigm.

Conditions

  • Dry Eye

Sponsors & Collaborators

  • Capital Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-01
Primary Completion
2028-10-31
Completion
2028-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07614347 on ClinicalTrials.gov