AI sorts lung clot patients to predict recovery
NCT ID NCT06183944
First seen Jun 27, 2026 · Last updated Jul 08, 2026 · Updated 2 times
Summary
This study uses artificial intelligence to group patients who have had a pulmonary embolism (a blood clot in the lung) based on their medical information at diagnosis. Researchers will track 2,500 patients for 6 months to see how different groups recover. The goal is to help doctors make better treatment decisions in the future.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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2,350 people
The number who actually took part.
- Started
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Dec 2023
- Finished
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Jul 2026
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
This research will include a retrospective and a prospective parts. The retrospective part will include patients who have been admitted to CHITS for acute pulmonary embolism since 2019 (around 1900 patients). For the prospective part, it is planned to include patients with same characteristics over the years 2024 and 2025.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Age ≥ 18 years; * Patient with acute pulmonary embolism in CHITS (hospitalised or not). Exclusion Criteria: * Sub-segmental pulmonary embolisms ; * Patient opposition.
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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
Locations
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Centre hospitalier intercommunal Toulon La Seyne sur Mer - Internal and vascular medicine
Toulon, 83100, France
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Other studies related to the condition(s) this trial covers.
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