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The integration of artificial intelligence (AI) into healthcare systems is transforming hospital management and patient monitoring, especially during the COVID-19 pandemic. This paper explores the use of artificial intelligence techniques for predicting myocardial infarction, with a particular focus on echocardiography. The aim of the project is to develop a predictive model for early diagnosis and identifying individuals at high risk of myocardial infarction. The study involves the collection and pre-processing of data, segmentation of echocardiographic videos, and the application of deep learning algorithms for classification. The results demonstrate the effectiveness of AI in echocardiography for myocardial infarction prediction, highlighting its potential in advancing predictive medicine for improved cardiovascular health outcomes.

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Prediction of Myocardial Infarction by Video Echocardiography Treatment

  • 会议论文

  • 发表日期：

    2026年

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  • El Ouarrak Zineb,
  • Rharrab Boutaina,
  • Belarbi Larbi,
  • Ziti Soumia,
  • Rhalem Wajih

摘要

The integration of artificial intelligence (AI) into healthcare systems is transforming hospital management and patient monitoring, especially during the COVID-19 pandemic. This paper explores the use of artificial intelligence techniques for predicting myocardial infarction, with a particular focus on echocardiography. The aim of the project is to develop a predictive model for early diagnosis and identifying individuals at high risk of myocardial infarction. The study involves the collection and pre-processing of data, segmentation of echocardiographic videos, and the application of deep learning algorithms for classification. The results demonstrate the effectiveness of AI in echocardiography for myocardial infarction prediction, highlighting its potential in advancing predictive medicine for improved cardiovascular health outcomes.