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Should fluid dynamics be included in computer models of RF cardiac ablation by irrigated-tip electrodes?

Ana Gonzalez-SuarezJuan J PérezEnrique Berjano
Published in: Biomedical engineering online (2018)
The findings suggest that the reduced model is not able to predict either the lesion surface width or the maximum temperature reached in the blood, and so would not be suitable for the study of issues related to blood temperature, such as the incidence of thrombus formation during ablation. However, it could be used to study issues related to maximum tissue temperature, such as the steam pop phenomenon.
Keyphrases
  • heart failure
  • machine learning
  • deep learning
  • radiofrequency ablation
  • atrial fibrillation