Actively Recruiting

Age: 18Years +
All Genders
Healthy Volunteers
NCT06384846

AI Algorithms in Prediction of ACS Based on Leukocyte Properties

Led by RobotDreams GmbH · Updated on 2024-04-25

2700

Participants Needed

1

Research Sites

152 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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

Official Title

AI Algorithms in Prediction of ACS Based on Leukocyte Properties

Who Can Participate

Age: 18Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Male or female aged 18 years or above
  • Willing and able to give informed consent for participation
  • Presenting without chest pain or with stable angina but no indication for revascularization during coronary angiography
  • Elevated hs-cTn must be excluded
  • Timing criteria for blood sampling of WBC and hs-cTn data are fulfilled
  • For subjects with no or stable angina, WBC data and at least one hs-cTn value must be available before coronary angiography
  • No suspicion of ACS between initial blood sampling and coronary angiography
Not Eligible

You will not qualify if you...

  • Under 18 years old
  • Refusal to give informed consent
  • Inability to collect WBC and hs-cTn data
  • Timing criteria for blood sampling of WBC and hs-cTn data not met
  • Suspicion of ACS occurred between initial blood sampling and coronary angiography in subjects with no or stable angina

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Landeskrankenhaus-Universitätsklinikum Graz

Graz, Styria / Steiermark, Austria, 8036

Actively Recruiting

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Research Team

D

Dimitrij Shulkin, M.Sc.

CONTACT

J

Johannes Gollmer, Dr. univ.

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

3

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