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Evaluating the realism of ANA HEp-2 cell images synthesized using latent diffusion models: a multi-center visual turing test

NCT ID NCT06542783

NEW Sponsor: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine Source: ClinicalTrials.gov ↗

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Recruiting now
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By invitation only
Not open to general applications. Only people the study team invites can take part.
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Running, but no longer taking on new participants.
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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 Results may not be published yet.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.

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When the status isn't known

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First seen Sep 10, 2026 · Last updated Sep 10, 2026

Summary

The objective of this prospective observational study is to rigorously examine the feasibility and efficacy of utilizing latent diffusion models for data augmentation in anti-nuclear antibody (ANA) Hep-2 cell immunofluorescence images. The main question it aims to answer is: Can the application of such models potentially enhance the data quality, increase sample diversity, or improve the accuracy and efficiency of subsequent analytical processes (like disease diagnosis and classification) when utilized with ANA-related images?

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

About 300 people

The number the study aims to enrol. It can still change while the study runs.

Started

May 2025

Expected to finish

Jan 2029

An estimate. End dates often move.

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

We are recruiting cytopathologists from clinical laboratories in multiple medical institutions worldwide who specialize in interpreting anti-nuclear antibody (ANA) patterns to participate in a visual Turing test.

Ages

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

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Originating from reputable medical institutions * Possessing relevant certification and qualifications * Having over one year of experience in interpreting anti-nuclear antibody (ANA) patterns within a laboratory setting Exclusion Criteria: * Lacking relevant professional certification and qualifications * Without experience in interpreting ANA patterns * Unwilling to accept the rules and informed consent of the visual Turing test

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Conditions

The condition(s) this trial relates to.

connective tissue disorder

As listed by the trial registrant

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

Anti-nuclear antibody Artifical intelligence Autoimmune / connective tissue diseases Visual turing tests

Contacts and locations

Locations

  • Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

    Shanghai, Shanghai Municipality, 200092, China

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