Artificial Intelligence in Echocardiography for Anesthesiologists.

Journal: Journal of cardiothoracic and vascular anesthesia
PMID:

Abstract

Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment of patients with cardiovascular diseases. However, there are high levels of interoperator variations in echocardiography interpretations that could lead to inaccurate diagnosis and incorrect treatment. Furthermore, anesthesiologists are faced with the additional challenge to interpret echocardiography and make decisions in a limited timeframe from these complex data. The need for an automated, less operator-dependent process that enhances speed and accuracy of echocardiography analysis is crucial for anesthesiologists. Artificial intelligence is playing an increasingly important role in the medical field and could help anesthesiologists analyze complex echocardiographic data while adding increased accuracy and consistency to interpretation. This review aims to summarize practical use of artificial intelligence in echocardiography and discusses potential limitations and challenges in the future for anesthesiologists.

Authors

  • Xia Chen
    Tianjin Eye Hospital, 4 Gansu Road, Tianjin, 300020, China.
  • Cindy A Owen
    GE Healthcare, Waukesha, WI.
  • Emma C Huang
    duPont Manual High School, Louisville, KY.
  • Brittany D Maggard
    Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY.
  • Rana K Latif
    Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY; Outcomes Research Consortium, Cleveland, Ohio, USA.
  • Sean P Clifford
    Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY.
  • Jinbao Li
    School of Computer Science and Technology, Heilongjiang University, Harbin 150080, China. jbli@hlju.edu.cn.
  • Jiapeng Huang
    Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY; Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY. Electronic address: jiapeng.huang@louisville.edu.