Using AI to identify eye and brain conditions from fundus photographs in emergency settings
Official title: Development of a Deep Learning System for Identification of Neuro-Ophthalmological Conditions on Color Fundus Photographs in Emergency Department
Run by Fondation Ophtalmologique Adolphe de Rothschild · NCT06643338 · Data updated 2026-11-12
This study is testing whether artificial intelligence can help doctors quickly spot eye and brain problems from photos taken in emergency rooms to improve patient care.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | Fondation Ophtalmologique Adolphe de Rothschild Research network |
| Locations | 1 site (Paris) |
| Status | Recruiting |
| Started | September 9, 2024 |
| Main results expected | October 2027 |
| Study ends | October 2027 |
| Registry record updated | October 16, 2024 |
| Trial ID | NCT06643338 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and over who are presenting to the emergency department with potential neuro-ophthalmological issues.
✕Probably not a fit
Patients under legal protection or those who are pregnant or breastfeeding may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to enhance the diagnostic capabilities of artificial intelligence in identifying a range of neuro-ophthalmological conditions from color fundus photographs taken in emergency departments. By leveraging AI technology, the study seeks to simultaneously detect various optic nerve and brain pathologies, which can significantly improve patient management and outcomes. The focus is particularly on urgent cases where timely diagnosis is critical to prevent irreversible complications. The study will involve patients presenting to the emergency department of the Fondation Adolphe de Rothschild hospital.
Why it matters
Potential benefit: If successful, this approach could lead to faster and more accurate diagnoses for patients with serious eye and brain conditions.
How similar studies have gone: Other studies have shown promise in using AI for medical diagnostics, indicating a potential for success with this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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 Exclusion Criteria: * Patient under legal protection * Pregnant or breast-feeding women
Where it's running
-
Hôpital Fondation Adolphe de Rothschild
Paris, France Recruiting
Study contacts
- Study coordinator: Amelie Yavchitz, Dr
- Email: ayavchitz@for.paris
- Phone: 33 148036454
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.