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External Validation of a Deep Learning Based Model for Pulmonary Embolism Detection on Chest CT Scans

NCT05333042 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2022-09-21

No results posted yet for this study

Summary

The scope of this study is the external validation of an explainable deep learning-based classifier for the diagnosis and detection of pulmonary embolism in computed tomography pulmonary angiography (CTPA) and contrast enhanced CT scans.

Conditions

Sponsors & Collaborators

  • Centre Hospitalier Universitaire de Liege

    collaborator OTHER

  • OncoRadiomics

    lead INDUSTRY

Principal Investigators

  • Paul Meunier, PhD · CHU of Liege

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-04-01
Primary Completion
2022-04-01
Completion
2022-07-14

Countries

  • Belgium

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05333042 on ClinicalTrials.gov