Anesthesiology, automation, and artificial intelligence

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

There have been many attempts to incorporate automation into the practice of anesthesiology, though none have been successful. Fundamentally, these failures are due to the underlying complexity of anesthesia practice and the inability of rule-based feedback loops to fully master it. Recent innovations in artificial intelligence, especially machine learning, may usher in a new era of automation across many industries, including anesthesiology. It would be wise to consider the implications of such potential changes before they have been fully realized.

Original languageEnglish (US)
Pages (from-to)117-119
Number of pages3
JournalBaylor University Medical Center Proceedings
Volume31
Issue number1
DOIs
StatePublished - Jan 1 2018

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Keywords

  • Anesthesiology
  • Artificial intelligence
  • Automation
  • Clinical decision support
  • Machine learning

ASJC Scopus subject areas

  • Medicine(all)

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