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AI Algorithms in Prediction of ACS Based on Leukocyte Properties
Sponsor: RobotDreams GmbH
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.
Official title: Diagnostic Performance of Artificial Intelligence Algorithms in Prediction of Acute Coronary Syndrome Based on White Blood Cell Properties (AI-ACS Trial)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
2700
Start Date
2024-02-01
Completion Date
2026-12-31
Last Updated
2024-04-25
Healthy Volunteers
Yes
Conditions
Locations (1)
Landeskrankenhaus-Universitätsklinikum Graz
Graz, Styria / Steiermark, Austria