Diagnostic Performance of Artificial Intelligence Algorithms in Prediction of Acute Coronary Syndrome Based on White Blood Cell Properties

Recruiting Observational Study
Acute Coronary Syndrome Angina Pectoris NSTEMI - Non-ST Segment Elevation MI STEMI - ST Elevation Myocardial Infarction Unstable Angina (UA)
No Placebo Group Every participant receives an active treatment — no one gets a placebo. Healthy Volunteers Welcome You do not need to have the condition being studied to take part. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
3,350 (estimated)
Sponsor
RobotDreams GmbH · Industry
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About This Trial
The goal of this observational study is to evaluate whether artificial intelligence (AI) algorithms can predict or exclude acute coronary syndrome (ACS) in adults using data generated by routine hematology testing. The main questions the study aims to answer are: * Can AI algorithms based on white blood cell (WBC) data predict or exclude ACS in subjects with suspected ACS? * Can erythrocyte (EC) …
Trial Locations
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Eligibility Criteria
Inclusion Criteria: General inclusion criteria: * Male or female, aged 18 years or above. * Participant is willing and able to give informed consent for participation in the study. * Collection of WBC and hs-cTn data must be possible. * Criteria for timing of blood sampling for collection of WBC a…
Contacts

Dimitrij Shulkin, M.Sc.

+43-676-5150578

shulkin@robotdreams.co

CONTACT

Johannes Gollmer, Dr. univ.

johannes.gollmer@medunigraz.at

CONTACT