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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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Developing a clinical decision support tool
Timeframe: During whole study duration of 3 years
Validate machine learning (ML) models
Timeframe: During whole study duration of 3 years