Using AI to analyze data from patients with acute pulmonary embolism
Data Clustering Study With Artificial Intelligence and Phenotyping of Patients Who Presented With Acute Pulmonary Embolism
This study is testing if using artificial intelligence to analyze medical reports can help doctors better understand and treat patients with acute pulmonary embolism.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 2500 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Centre Hospitalier Intercommunal de Toulon La Seyne sur Mer Academic / other |
| Locations | 1 site (Toulon) |
| Trial ID | NCT06183944 on ClinicalTrials.gov |
What this trial studies
This study aims to develop and validate artificial intelligence tools, specifically machine learning and Natural Language Processing, to acquire and structure data from medical reports related to acute pulmonary embolism at the Centre Hospitalier Intercommunal de Toulon. The project builds on previous work in cancer research and seeks to identify clinically relevant phenotypes in patients by employing hierarchical clustering methods. The ultimate goal is to enhance therapeutic decision-making by creating a robust data-driven tool for vascular medicine practitioners.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older who have been diagnosed with acute pulmonary embolism.
Not a fit: Patients with sub-segmental pulmonary embolisms or those who oppose participation may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnosis and treatment strategies for patients with acute pulmonary embolism.
How similar studies have performed: While similar approaches have been explored in cancer research, this specific application of AI in acute pulmonary embolism is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years; * Patient with acute pulmonary embolism in CHITS (hospitalised or not). Exclusion Criteria: * Sub-segmental pulmonary embolisms ; * Patient opposition.
Where this trial is running
Toulon
- centre hospitalier intercommunal Toulon La Seyne sur Mer - Internal and vascular medicine — Toulon, France (Recruiting)
Study contacts
- Study coordinator: Jean-Philippe Suppini
- Email: recherche.promotion@ch-toulon.fr
- Phone: 04 94 14 55 25
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.