Artificial intelligence may forecast pneumonia after heart surgery

NCT ID NCT07745491

Recruiting now Knowledge-focused Sponsor: Tomsk National Research Medical Center of the Russian Academy of Sciences Source: ClinicalTrials.gov ↗

First seen Aug 04, 2026 · Last updated Aug 12, 2026 · Updated 3 times

Summary

This study is testing whether artificial intelligence can predict which patients will develop hospital-acquired pneumonia after heart or vascular surgery. It will also investigate whether pneumonia after surgery is linked to a higher risk of heart and lung problems within the following year. The research will use data from 700 adult patients to develop personalized risk calculators, potentially helping doctors identify high-risk patients earlier.

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 personalized risk calculators that help doctors predict and prevent pneumonia after heart surgery, and identify patients at higher risk for long-term heart and lung complications.
What could go wrong: This is an observational study, so it can only show associations, not cause and effect. The AI models may not be accurate enough for widespread use, and results may not apply to all patient populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Healthcare-Associated Pneumonia nosocomial infection

As listed by the trial registrant

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

HOSPITAL-ACQUIRED PNEUMONIA

Contacts and locations

Locations

Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
RECRUITING

Tomsk, Russia

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