Status:
NOT_YET_RECRUITING
An Interpretable Fundus Diseases Report Generating System Based On Weakly Labelings
Lead Sponsor:
Zhongshan Ophthalmic Center, Sun Yat-sen University
Conditions:
Retinal Diseases
Choroidal Disease
Eligibility:
All Genders
Brief Summary
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 r...
Detailed Description
1. AI models for multimodal fundus imaging in the diagnosis of retinal diseases. AI models have demonstrated significant potential in assisting the diagnosis of various retinal diseases based on multi...
Eligibility Criteria
Inclusion
- Disease group: All multimodal fundus examination images containing fundus lesions, examined from January 2011 to December 2023, including fundus photography, as well as OCT, OCTA, FFA, ICGA, B-ultrasound and corresponding imaging reports. Images could be either clear or unclear, reports are either complete or incomplete.
- Normal group: All multimodal fundus examination images without fundus lesions, examined from January 2011 to December 2023, including fundus photography, as well as OCT, OCTA, FFA, ICGA, B-ultrasound and corresponding imaging reports. Images could be either clear or unclear, reports are either complete or incomplete.
Exclusion
- Disease group: 1. The image has serious quality problems; 2. The diagnostic report lacks key information.
- Normal group: 1. The image has serious quality problems; 2. The diagnostic report lacks key information.
Key Trial Info
Start Date :
May 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 1 2026
Estimated Enrollment :
9999 Patients enrolled
Trial Details
Trial ID
NCT06918028
Start Date
May 1 2025
End Date
December 1 2026
Last Update
April 9 2025
Active Locations (1)
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1
Zhongshan Ophthalmic Center
Guangzhou, Guangdong, China, 510080