RecruitingNCT06927791

MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions

Sponsor

University Hospital, Basel, Switzerland

Enrollment

200,000 participants

Start Date

Apr 1, 2024

Study Type

OBSERVATIONAL

Conditions

Acute Cardiovascular Disease NSTEMI - Non-ST Segment Elevation MI ST-segment elevation myocardial infarction (STEMI)

Summary

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.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Machine learning based development of a diagnostic tool for acute cardiovascular disease for people with acute cardiovascular disease, nstemi - non-st segment elevation mi, and other related conditions. The study is currently recruiting participants at 1 location. People eligible for this study include aged 18 Years and older.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERMachine learning based development of a diagnostic tool for acute cardiovascular disease

MALBEC will be delivered through five integrated work packages (WP) encompassing: (0) platform development and implementation, (1) data pooling, (2) model development, (3) performance comparison, (4) performance validation, and (5) platform plugin