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Pre-operative lung ablation prediction using deep learning.

Krishna Nand Keshava MurthyCarsten EickhoffEtay Ziv
Published in: European radiology (2024)
Our method addresses the current lack of reliable tools to estimate ablation extents, required for ensuring successful ablation treatments. The potential clinical implications include improved treatment planning, ensuring complete treatments, and reducing tumor recurrence.
Keyphrases
  • deep learning
  • radiofrequency ablation
  • catheter ablation
  • artificial intelligence
  • atrial fibrillation
  • climate change
  • human health