Rok 2024

• Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality

  Publikacja

  • W. Nazar
  • K. Nazar
  • L. Daniłowicz-Szymanowicz

  - Life - Rok 2024

  High-quality echocardiogram images are the cornerstone of accurate and reliable measurements of the heart. Therefore, this study aimed to develop, validate and compare machine learning and deep learning algorithms for accurate and automated assessment of transthoracic echocardiogram image quality. In total, 4090 single-frame two-dimensional transthoracic echocardiogram...

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Rok 2023

• Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review

  Publikacja

  • W. Nazar
  • S. Szymanowicz
  • K. Nazar
  • D. Kaufmann
  • E. Wabich
  • R. Braun‑Dullaeus
  • L. Daniłowicz‑Szymanowicz

  - HEART FAILURE REVIEWS - Rok 2023

  The aim of the presented review is to summarize the literature data on the accuracy and clinical applicability of artificial intelligence (AI) models as a valuable alternative to the current guidelines in predicting cardiac resynchronization therapy (CRT) response and phenotyping of patients eligible for CRT implantation. This systematic review was performed...

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