Plain-English translation of NCT07009639 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are testing whether artificial intelligence (AI) can help doctors more quickly detect a condition called left atrial cardiomyopathy — a type of weakness in the upper heart chamber that often goes undiagnosed. This study compares how fast and accurate the AI tool is compared to the standard way doctors currently measure heart chamber function. The goal is to see if the AI can help catch this condition earlier in hospitalized patients with acute heart problems.
Left atrial cardiomyopathy is frequently missed by doctors but significantly increases the risk of dangerous heart rhythms and blood clots. The new AI-assisted imaging tool may help doctors diagnose and assess this condition much faster, especially in emergency situations, which could improve patient outcomes.
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You would receive heart imaging tests (echocardiograms) using both the new AI technology and standard methods while you are hospitalized for your acute heart condition. The study will track how long each imaging method takes and monitor your heart health during your hospital stay to see if the AI tool's measurements help predict complications or heart rhythm problems.
AI-generated summary from trial data · Jun 19, 2026 · Not medical advice
Italy
Sponsor
University of Calabria
Enrollment target
~45 participants
Started
July 2025
Primary completion
September 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 85 Years
Last updated on clinicaltrials.gov in August 2025.
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Central contact
Antonio Curcio, Medicine
University of Calabria
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