Artificial Intelligence Detection of Occlusive Myocardial Infarction from Electrocardiograms Interpreted as "Normal"
Shifa R Karim1, Hans C Helseth2, Peter O Baker3
1Baylor University, Waco, TX 76798, USA.
Journal of Personalized Medicine
|April 25, 2025
Summary
Artificial intelligence (AI) can detect acute coronary occlusion myocardial infarction (OMI) in electrocardiograms (ECGs) that conventional computer algorithms (CCAs) incorrectly label as normal. AI identified OMI in 81% of cases where CCAs missed the diagnosis.
Area of Science:
- Cardiology
- Artificial Intelligence in Medicine
- Medical Diagnostics
Background:
- Conventional computer algorithm (CCA) interpretation of electrocardiograms (ECGs) as "normal" may overlook acute coronary occlusion myocardial infarction (OMI).
- There is a critical need to identify OMI in ECGs that appear normal to standard algorithms.
Purpose of the Study:
- To evaluate the capability of an artificial intelligence (AI) model in detecting OMI on ECGs.
- To assess if AI can identify OMI in cases where CCA interpretation was "normal".
Main Methods:
- Retrospective analysis of ECGs from patients with confirmed OMI (2014-2024).
- ECGs initially interpreted as "normal" by CCA were re-evaluated by the PMcardio OMI AI ECG model.
- OMI outcome defined by acute myocardial infarction diagnosis, angiographic findings, and specific flow/troponin/wall abnormality criteria.
Main Results:
- Of 42 OMI patients, 88% had their first ECG classified as "normal" by CCA.
- AI identified OMI in 81% of these initially "normal" ECGs and 72% of all CCA-"normal" ECGs.
- AI rarely misclassified an OMI patient's ECG as normal.
Conclusions:
- Conventional computer algorithms may fail to identify OMI in ECGs.
- AI demonstrates significant ability to detect OMI in ECGs flagged as normal by CCAs.
- AI offers a promising tool for improving the diagnosis of OMI, especially in challenging cases.
Related Concept Videos
01:29Electrocardiogram
1.6K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
1.6K
01:30Pulse rhythm
717
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
717