Machine Learning Tool for Faster Diagnosis of Acute Heart Conditions
Tests a machine learning tool to help diagnose heart attacks in adults with chest pain.
Plain-language title generated from the registry record
Registry title: MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions
Key facts
- Where
- Basel, SwitzerlandSee the site
Where in Switzerland
- University Hospital BaselBasel, SwitzerlandTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- University Hospital, Basel, Switzerland
- Trial code
- NCT06927791
- Record updated
- 15 April 2025
- Original description
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.Read full original descriptionShow less
MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions
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.
Inclusion: Acute cardiovascular disease (ACVD).
Exclusion: chronic terminal kidney failure requiring dialysis; age < 18 years old; patients presenting in cardiogenic shock.