An Interpretable Fundus Diseases Report Generating System Based On Weakly Labelings

Sponsor
Zhongshan Ophthalmic Center, Sun Yat-sen University
Study ID
NCT06918028
Status
Not Yet Recruiting

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Conditions

  • Age Related Macular Degeneration
  • Choroidal Disease
  • Choroidal Neovascularization
  • Diabetic Retinopathy
  • Pathological Myopia
  • Retinal Diseases

Eligibility Criteria

Sex
ALL
Age
N/A - N/A
Healthy Volunteers
Accepted

Interventions

  • With fundus diseases — OTHER
    With fundus diseases
  • Without fundus diseases — OTHER
    Without fundus diseases

Study Details

To establish a multimodal fundus image report generation model to realize an interpretable system for multiple fundus diseases, multimodal image analysis, diagnosis, and treatment decision automatic reporting based on weakly labeled training data. Construct an interpretable feature fusion network for the clinical and imaging features of fundus lesions, and we hope to extract new imaging markers that can predict the occurrence and progression of various fundus lesions at an early stage, and ultimately verify them in real clinical data, further providing possible directions for exploring the molecular mechanisms of refractory fundus lesions, and may also provide new ideas for the precise prevention and treatment of fundus lesions.

Key Dates

First listed
Apr 9, 2025
Start date
May 31, 2025
Status verified
Oct 2024
Primary completion
Dec 31, 2025
Completion
Dec 31, 2026

Study Design

Enrollment
9,999 participants (estimated)

Arms

  • Arm: Disease group
    With retinal or choroidal diseases
  • Arm: Normal group
    Without retinal or choroidal diseases

Primary Outcome Measure

Fundus Fluorescein Angiography (FFA) images with corresponding report [ Time Frame: Baseline ]

Central Contacts

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