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Early Identification of Candidates for Epilepsy Surgery: A Multicenter, Machine Learning, Prospective Validation Study.

Benjamin D WisselHansel M GreinerTracy A GlauserJohn P PestianDavid M FickerJennifer L CavittLeonel J F EstofanKatherine D Holland-BouleyFrancesco T ManganoRhonda D SzczesniakJudith W Dexheimer
Published in: Neurology (2024)
This study provides Class II evidence that a machine learning algorithm can accurately distinguish patients with epilepsy who require resective surgery from those who do not.
Keyphrases
  • machine learning
  • minimally invasive
  • coronary artery bypass
  • artificial intelligence
  • deep learning
  • big data
  • surgical site infection
  • cross sectional
  • coronary artery disease