Understanding and interpreting artificial intelligence, machine learning and deep learning in emergency medicine

Shammi Ramlakhan, Reza Saatchi, Lisa Sabir, Yardesh Singh, Ruby Hughes, Olamilekan Shobayo, Dale Ventour

Research output: Contribution to journalReview articlepeer-review

13 Citations (Scopus)
22 Downloads (Pure)

Abstract

The field of artificial intelligence (AI) has been developing more prominently for over half a century. Innovations in computer processing power and analytical capabilities coupled with the availability of huge amounts of routinely collected data has meant that AI research and technology development has grown exponentially in recent years. The results of this growth can be seen in emergency medicine (EM)—with the Food and Drug Administration approving the first AI software as a medical device for wrist fracture detection in 2018. As of 2021, several more have been approved—for triage, X-ray identification of pneumothorax and notification and triage software for CT images.
Original languageEnglish
Pages (from-to)380-385
Number of pages6
JournalEmergency Medicine Journal
Volume39
Issue number5
Early online date3 Mar 2022
DOIs
Publication statusPublished - 1 May 2022

Keywords

  • artificial intelligence
  • machine learning
  • emergency medicine

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