AI reads CT scans to spot High-Risk clot patients

NCT ID NCT05482269

Recruiting now Knowledge-focused Sponsor: Shengjing Hospital Source: ClinicalTrials.gov ↗

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.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for ARTIFICIAL INTELLIGENCE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

Clinical Deterioration pulmonary embolism thrombotic disease

As listed by the trial registrant

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

ARTIFICIAL INTELLIGENCE DETERIORATION, CLINICAL PULMONARY EMBOLISM AND THROMBOSIS

AI reads CT scans to spot High-Risk clot patients

Summary

What this could mean

Get notified about this study

Conditions

As listed by the trial registrant

Contacts and locations

Locations

More trials for these conditions