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A machine learning-based score for precise echocardiographic assessment of cardiac remodelling in hypertensive young adults.

Maryam AlsharqiWinok LapidaireYasser Iturria-MedinaZhaohan XiongWilby WilliamsonAfifah MohamedCheryl M J TanJamie KittHolger BurchertAndrew FletcherPolly WhitworthAdam J LewandowskiPaul Leeson
Published in: European heart journal. Imaging methods and practice (2023)
A quantitative score that summarizes hypertension-related cardiac remodelling in young adults can be generated from a computational model. This score might allow more personalized early prevention advice, but further evaluation of clinical applicability is required.
Keyphrases
  • young adults
  • machine learning
  • left ventricular
  • blood pressure
  • pulmonary hypertension
  • artificial intelligence
  • childhood cancer
  • left atrial
  • big data
  • mass spectrometry