Plain-English translation of NCT06927791 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing an artificial intelligence system to help emergency doctors diagnose heart attacks and other acute heart conditions more quickly and accurately. The study will enroll up to 200,000 patients with chest pain or shortness of breath to gather data that will teach the AI system to recognize patterns in heart tests and blood work. This could help save lives by catching serious heart conditions faster.
Current methods for diagnosing heart attacks in emergency departments can be slow and sometimes miss cases because symptoms overlap and doctors must make decisions quickly. This treatment aims to combine artificial intelligence with heart test results and blood markers to give doctors a more reliable decision-making tool that reduces errors and speeds up diagnosis.
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As a participant, you would undergo standard emergency department tests — including heart electrical tracings (ECGs) and blood tests — that doctors already use to evaluate chest pain and breathing problems. Your test results would be added to a research database to help train the artificial intelligence system, but this would not change your immediate medical care or treatment plan. The study is observational, meaning researchers are gathering and analyzing existing diagnostic information rather than testing a new medication or procedure.
AI-generated summary from trial data · Jun 25, 2026 · Not medical advice
Switzerland
Sponsor
University Hospital, Basel, Switzerland
Collaborators
University of Basel
Enrollment target
~200,000 participants
Started
April 2024
Primary completion
March 2027
Age range
18 Years and older
Last updated on clinicaltrials.gov in April 2025.
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Central contact
Jasper Boeddinghaus, PD Dr. med.
University Hospital, Basel, Switzerland
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