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MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions

Recruitingn/aAges 18 Years - anyAllUniversity Hospital, Basel, Switzerland
NCT06927791 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

The research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in emergency department (ED) patients with chest pain or dyspnea with the ultimate goal of Improved diagnostic accuracy, faster patient management, and reduced medical errors.

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📋 Eligibility rules (as published)
Inclusion Criteria: • Acute cardiovascular disease (ACVD) Exclusion Criteria * age \< 18 years old * patients presenting in cardiogenic shock * chronic terminal kidney failure requiring dialysis
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What it tests

  • Machine learning based development of a diagnostic tool for acute cardiovascular disease
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Where

1 site
University Hospital Basel
Basel, Switzerland
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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