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Artificial intelligence could revolutionize ARDS diagnosis and treatment

NCT ID NCT07328997

Diagnosis Sponsor: Shanghai Zhongshan Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This completed study tested an artificial intelligence model that analyzes chest CT scans to help diagnose and manage Acute Respiratory Distress Syndrome (ARDS). Researchers used data from 400 ICU patients to train the AI to classify ARDS severity, recommend treatments, and predict 28-day survival. The goal is to give doctors a faster, more accurate tool to guide critical care decisions.

What this could mean

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

Active substance
CT scan
What this could lead to
If successful, this AI model could help doctors more accurately diagnose ARDS severity and choose the right treatments faster, potentially improving patient outcomes.
What could go wrong
This is a completed study using existing data, so the model's real-world performance in new patients is not yet proven. The AI may not work as well outside the study's specific hospital setting.

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

400 people

The number who actually took part.

Started

May 2024

Finished

Nov 2025

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

The study population consists of adult patients diagnosed with acute respiratory distress syndrome (ARDS) who were admitted to the intensive care units (ICUs) of three tertiary comprehensive hospitals in China. Eligible participants are retrospectively identified from electronic medical records between January 2020 and December 2024. All included patients meet the predefined inclusion and exclusion criteria based on the 2023 Global ARDS Definition and have available chest CT imaging and corresponding clinical data. This cohort represents a real-world ICU population with diverse etiologies of ARDS and varying degrees of disease severity.

Ages

18 to 100 years

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: * Meets the diagnostic criteria for ARDS * Be admitted to the intensive care unit * There are chest CT images Exclusion Criteria: * Age less than 18 years old * Missing medical records * No chest CT images

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Conditions

The condition(s) this trial relates to.

acute lung injury acute respiratory distress syndrome

As listed by the trial registrant

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

Ai (artificial intelligence) ARDS (acute respiratory distress syndrome)

Contacts and locations

Locations

  • Department of critical care medicine, Zhongshan Hospital, Fudan University

    Shanghai, Fengling Rd, 200032, P. R., China

More trials for these conditions

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