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 type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 4800 (estimated) |
| Sponsor | Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Status | Recruiting |
| Started | January 1, 2026 |
| Main results expected | January 2028 |
| Study ends | March 2028 |
| Registry record updated | October 26, 2026 |
| Trial ID | NCT07895290 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
- Study coordinator: Xiaoyu Han
- Email: xiaoyuhan1123@163.com
- Phone: +8618202771604
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Respiratory Physiotherapy in Critically Ill Pneumonia Patients
This study tests whether a structured breathing and chest therapy program can change inflammatory biomarkers in adults with pneumonia in the ICU compared to usual care.
-
Wintergreen oil inhalation for shortness of breath in pneumonia patients
Hospitals will test whether inhaling wintergreen essential oil helps relieve dyspnea in adults with pneumonia.
-
Optimising Antibiotic Use for Paediatric LRTIs in Africa
This study tests whether using point-of-care CRP tests together with the PREPARE score can safely reduce antibiotic use in infants aged 2–24 months with lower respiratory infections in a Johannesburg hospital.
-
Buteyko Breathing vs Incentive Spirometry for Smog-Induced Pneumonia
We’re testing whether the Buteyko Breathing Technique can improve oxygen levels and breathe easier for adults with smog-related pneumonia compared to incentive spirometry.
-
FUNGAL-P: A score to spot fungal pneumonia early in adults with pneumonia
Aimed at adults with pneumonia, this study tests a new score to help identify fungal pneumonia sooner so doctors can test appropriately and start antifungal treatment when needed.
-
AgenT-797 plus standard care in severe pneumonia with acute hypoxemic respiratory failure
We are testing whether a single IV dose of agenT-797 added to standard care can reduce short-term death in adults with severe pneumonia and moderate to severe AHRF.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.