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AI eye scan could diagnose brain diseases in seconds

NCT ID NCT06390579

Diagnosis Sponsor: Fondation Ophtalmologique Adolphe de Rothschild Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

Researchers tested an artificial intelligence program that analyzes retinal images to diagnose several nerve and brain conditions, such as optic neuropathy and brain tumors. The study used data from 693 patients with confirmed diagnoses. The goal is to create a fast triage tool for healthcare providers, especially where specialists are scarce.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
deep learning algorithm
What this could lead to
If successful, this AI could help doctors quickly detect serious eye and brain conditions from a simple retinal photo, potentially speeding up treatment.
What could go wrong
This is a completed study using existing images, not a live test. The algorithm may not work as well in real-world settings or on different patient groups.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

693 people

The number who actually took part.

Started

Oct 2023

Finished

Feb 2024

Lead sponsor

A research network

The lead sponsor is a research network or cooperative group.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Color fundus photographs taken within 30 days from the date of onset

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Patients with well-defined neuro-ophthalmologic or neurologic conditions, including different forms of optic neuropathies and various neurodegenerative diseases. * Patients with a robust reference diagnosis confirmed by clinical experts. * Patients with available retinal fundus images collected during routine care. Exclusion Criteria: * Patients without a confirmed diagnosis or unclear clinical classification. * Patients without retinal fundus images or with images that are completely unreadable. * Patients whose data cannot be anonymized according to legal and institutional protocols.

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Conditions

The condition(s) this trial relates to.

anterior ischemic optic neuropathy brain cancer brain neoplasm neurodegenerative disease optic atrophy optic nerve disorder optic neuritis optic papillitis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence (AI) Brain tumors Deep learning Machine learning Optic atrophy Optic nerve diseases Optic neuritis Optic neuropathy Optic neuropathy, ischemic Papilledema Retinal photograph

Contacts and locations

Locations

  • Hopital Fondation Adolphe de Rothschild

    Paris, France, 75019, France

More trials for these conditions

Other studies related to the condition(s) this trial covers.