Clinical Trial

Evaluation of Clinical Intelligence Support to Reduce Errors in Normal ECGs

Study acronym: PRECISE-ECG
Not Yet Recruiting
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Record status
This record was last updated September 22, 2025 (before its estimated October 5, 2025 completion). Its status may not reflect the trial's current state.
Summary
This study will evaluate the performance of specialist physicians in interpreting normal electrocardiograms (ECGs) with and without the assistance of an artificial intelligence (AI) neural network. The primary aim is to determine whether AI support affects the rate of false-positive interpretations of normal tracings. Secondary aims include evaluating the time required for interpretation, the sensitivity for detecting abnormalities, and the effect on false positives in ECGs with major abnormalities according to the Minnesota Code system. All ECGs in the sample will be reviewed by a panel of three specialists, to determine the reference classification.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-09-11.
Trial Details
NCT Number NCT07179185
Lead Sponsor Federal University of Minas Gerais
Collaborators: Uppsala University
Conditions Electrocardiogram, Cardiovascular Abnormalities
Enrollment 710 participants
Start Date 2025-10-01
Primary Completion 2025-10-05 (estimated)
Study Completion 2025-11 (estimated)
Updated on ClinicalTrials.gov 2025-09-22