Actively Recruiting
Development of a Deep Learning System for Identification of Neuro-Ophthalmological Conditions on Color Fundus Photographs in Emergency Department
Led by Fondation Ophtalmologique Adolphe de Rothschild · Updated on 2024-10-16
1000
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are studying how artificial intelligence (AI) can improve diagnosis of neuro-ophthalmological and neurological conditions affecting the optic nerves and brain using fundus images. The study focuses on enhancing an AI algorithm to better identify a broader range of retinal and optic nerve problems, especially in emergency departments where quick and accurate diagnosis is critical. This observational research aims to support emergency physicians who may lack ophthalmology specialists by providing a reliable AI-based diagnostic tool. Participants in this study are patients presenting to the emergency departments of the Fondation Adolphe de Rothschild Hospital. The study will collect fundus photographs from these patients to build a database and test the AI algorithm's ability to distinguish different eye and optic nerve diseases. The AI's performance will be evaluated using measures such as sensitivity, specificity, accuracy, and area under the curve (AUC). There are no drug or device interventions; this is an observational study. During the study, participants will provide fundus images and give consent to be included. Researchers will analyze these images to assess the AI algorithm's diagnostic accuracy by comparing predictions to actual conditions. The primary outcome is the proportion of correct predictions by the AI at 30 days. Secondary outcomes include detailed sensitivity and specificity for each eye disease. The study is expected to continue until October 2027, with ongoing monitoring of AI performance and patient data collection.
CONDITIONS
Brief Title
Development of a Deep Learning System for Identification of Neuro-Ophthalmological Conditions on Color Fundus Photographs in Emergency Department
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patient aged 18 and over
- Presenting to the emergency department of the Fondation Adolphe de Rothschild hospital
- Express consent to participate in the study
- Member or beneficiary of a social security scheme
You will not qualify if you...
- Patient under legal protection
- Pregnant or breast-feeding women
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
Duration - Up to 30 days
Participants undergo color fundus photography to identify neuro-ophthalmological conditions using a deep learning system.
1 visit (in-person)
Duration - Up to 30 days
Participants are observed to assess the accuracy and performance of the deep learning system based on collected data.
Trial Site Locations
Total: 1 location
1
Hôpital Fondation Adolphe de Rothschild
Paris, France, 75019
Actively Recruiting
Research Team
A
Amelie Yavchitz, Dr
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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