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AI Algorithms in Prediction of ACS Based on Leukocyte Properties

NCT06384846 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2700

Last updated 2024-04-25

No results posted yet for this study

Summary

The goal of this observational study is to find out if artificial intelligence (AI) can accurately predict acute coronary syndrome (ACS) using data on white blood cells in adults. The main question it aims to answer is:

\- Can AI algorithms based on white blood cell data predict ACS with accuracy comparable to that of high-sensitivity cardiac troponin (hs-cTn)? Researchers will look at how the AI model's predictions stack up against the standard hs-cTn blood tests to see which is more accurate in diagnosing ACS.

Participants in this study will have already had blood tests as part of their usual care. Their previously collected health information and blood test results will be used to help train and test the AI algorithms. Participants will not undergo any new procedures for the study itself.

Conditions

  • Acute Coronary Syndrome
  • Angina Pectoris
  • NSTEMI - Non-ST Segment Elevation MI
  • STEMI - ST Elevation Myocardial Infarction

Sponsors & Collaborators

  • RobotDreams GmbH

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-02-01
Primary Completion
2026-07-31
Completion
2026-12-31

Countries

  • Austria

Study Locations

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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 NCT06384846 on ClinicalTrials.gov