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.
At a Glance
- Age
- 18 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 3,350 (estimated)
- Sponsor
- RobotDreams GmbH · Industry
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
Check Your Eligibility
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
Loading…
Loading trial locations…
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