Clinical trial Recruiting at 1 site Interventional Ages 18 and up

AI-powered CT help to guide pneumonia care

Official title: Diagnosis of Infectious Pneumonia and Detection of Unusual Infections Using Medical Imaging and Artificial Intelligence

Run by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · NCT07895290 · Data updated 2026-11-12

A multicenter trial tests whether using a chest CT–based AI report to guide care reduces death or need for new organ support in adults with pneumonia.

Quick facts

Study typeInterventional
Ages18 Years and up
SexAll
Enrollment4800 (estimated)
SponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology
Academic / other
Locations1 site (Wuhan, Hubei)
StatusRecruiting
StartedJanuary 1, 2026
Main results expectedJanuary 2028
Study endsMarch 2028
Registry record updatedOctober 26, 2026
Trial IDNCT07895290 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults hospitalized with suspected or confirmed pneumonia who need new or increased oxygen or have defined immunocompromise and have an interpretable chest CT available.

Probably not a fit

Patients without pneumonia that is infectious or who do not require enhanced oxygen support may not benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This pragmatic, multicenter randomized trial compares usual pneumonia care with or without an AI-generated CT report that characterizes likely pathogens, lung involvement, and deterioration risk. Clinicians review the AI output with imaging and patient data, but remain responsible for tests and treatment. The study uses 1:1 randomization and blinded outcome adjudication, enrolling patients early in their pneumonia episode before major organ support is needed. Primary outcomes focus on mortality and new invasive respiratory or circulatory support within 28 days, with follow-up through day 90 after discharge. Secondary considerations include how the AI report influences testing, antimicrobial choices, and monitoring, as well as technical diagnostic performance.

Why it matters

Potential benefit: If successful, AI-assisted care could reduce mortality and the need for urgent organ support in pneumonia patients.

How similar studies have gone: Previous studies with AI-assisted imaging guidance have shown promise in other infectious diseases, but this exact approach in pneumonia is being tested here.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Hospitalized with suspected or confirmed pneumonia and new or progressive infection-compatible chest CT abnormalities.
2. At increased clinical risk: new or increased oxygen requirement above the stable pre-illness baseline attributable to the current pneumonia, OR protocol-defined immunocompromise.
3. A clinically indicated CT meeting the frozen input-quality criteria is available. Randomize within 24 hours after that CT and within 48 hours of documented recognition of the current pneumonia episode.
4. No primary qualifying organ support earlier in the current episode, at baseline, or already clinically indicated before allocation.
5. Written informed consent from the participant or an authorized representative before randomization.

Exclusion Criteria:

1. No interpretable CT suitable for the locked model; a noninfectious diagnosis fully explains the findings without suspected concomitant pneumonia.
2. Qualifying invasive respiratory or circulatory support in the current episode, including support already clinically indicated even if not yet delivered.
3. Previous randomization in this trial; a concurrent interventional study that conflicts with the AI care strategy.
4. Known pregnancy, outside the initial intended-use population; breastfeeding alone is not an exclusion.
5. Exclusive comfort-focused care or a pre-existing ceiling of care that rules out both invasive ventilation and vasopressor support.
6. Consent cannot be obtained under the approved arrangements.

Where it's running

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
    Wuhan, Hubei, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.