Condition: Acute Cardiovascular Disease · ST-segment Elevation Myocardial Infarction (STEMI) · NSTEMI - Non-ST Segment Elevation MI · Sponsor: University Hospital, Basel, Switzerland
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.
This description comes directly from the study's public registry record.
Jasper Boeddinghaus, PD Dr. med. · +41 61 32 87897 · jasper.boeddinghaus@usb.ch
Ivo Strebel, PhD · ivo.strebel@usb.ch
Always discuss trial participation with your own doctor first.
| University Hospital Basel | Basel, Switzerland | Recruiting |
Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.
We email about this public record only. Unsubscribe anytime with one click. Never medical advice.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT06927791