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The AI-CAC Model for Subclinical Atherosclerosis Detection on Chest X-ray

NCT06301009 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 500

Last updated 2024-03-08

No results posted yet for this study

Summary

The AI-CAC model is an artificial intelligence system capable of assessing the presence of subclinical atherosclerosis on a simple chest radiograph. The present study will provide prospective validation of its diagnostic performance in a primary prevention population with a clinical indication for coronary artery calcium (CAC) testing.

Conditions

  • Cardiovascular Diseases
  • Atherosclerosis
  • Coronary Artery Calcification

Interventions

DIAGNOSTIC_TEST

AI-CAC score

Deep-learning based prediction of the coronary artery calcium score with a plain chest x-ray

Sponsors & Collaborators

  • Compagnia di San Paolo

    collaborator OTHER

  • A.O.U. Città della Salute e della Scienza

    lead OTHER

Study Design

Allocation
NA
Purpose
PREVENTION
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
40 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-04-01
Primary Completion
2025-10-01
Completion
2025-10-01

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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 NCT06301009 on ClinicalTrials.gov