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AI-Powered imaging could revolutionize anemia diagnosis

NCT ID NCT05282888

Knowledge-focused Sponsor: Centre Hospitalier Universitaire, Amiens 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested a new way to analyze red blood cells in people with anemia using flow imaging and artificial intelligence. Instead of the usual method of spreading blood on a slide and staining it, the researchers used a machine that takes pictures of cells flowing in liquid. They built a database of normal and abnormal red blood cell shapes to train an AI. The goal was to see if this automated method could match the accuracy of traditional manual analysis, potentially making diagnosis faster and more consistent.

What this could mean

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

What this could lead to
If successful, this could lead to a faster, more objective way to diagnose anemias using AI and imaging, reducing reliance on manual blood smear analysis.
What could go wrong
This is a small, completed study with only 14 participants, focused on building a database. It does not test a treatment, and the AI method may not yet be ready for routine clinical use.

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

14 people

The number who actually took part.

Started

Apr 2021

Finished

Feb 2022

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

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

Who is studied

Any patient for whom a blood test including a cytological evaluation of RBC morphology is performed in the routine laboratory of CHU Amiens

Ages

18 years and older

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: * Any patient for whom a blood test including a cytological evaluation of RBC morphology is performed in the routine laboratory of CHU Amiens Exclusion Criteria: * patients who have opposed the use of their personal data for research work

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Conditions

The condition(s) this trial relates to.

erythrocyte disorder Sickle Cell Trait

As listed by the trial registrant

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

Artificial intelligence Red blood cells Schistocytes

Contacts and locations

Locations

  • CHU Amiens Picardie

    Amiens, Picardie, 80054, France

More trials for these conditions

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