AI reads CT scans to spot High-Risk clot patients
NCT ID NCT05482269
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether an artificial intelligence system can predict serious complications in people hospitalized with a pulmonary embolism (a blood clot in the lungs). Researchers will analyze CT scans from 2,000 adults to see if the AI can identify who is likely to die or need life-saving treatments within 30 days or 2 years. The goal is to create a tool that helps doctors make faster, more informed decisions.
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 AI tool could help doctors quickly identify which patients with a pulmonary embolism are at highest risk of dying or needing intensive care, potentially saving lives through earlier intervention.
What could go wrong
This is an observational study, not a treatment trial. The AI model may not be accurate enough for real-world use, and results may not apply to all patients.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Shengjing Hospital
RECRUITINGShenyang, Liaoning, 110004, China
Contact Phone: •••-•••-•••• Email: •••••@•••••