Artificial intelligence and point-of-care ultrasound: Benefits, limitations, and implications for the future.

Journal: The American journal of emergency medicine
Published Date:

Abstract

The utilization of artificial intelligence (AI) in medical imaging has become a rapidly growing field as a means to address contemporary demands and challenges of healthcare. Among the emerging applications of AI is point-of-care ultrasound (POCUS), in which the combination of these two technologies has garnered recent attention in research and clinical settings. In this Controversies paper, we will discuss the benefits, limitations, and future considerations of AI in POCUS for patients, clinicians, and healthcare systems.

Authors

  • Fae Kayarian
    Rush Medical College, Chicago, IL, USA. Electronic address: fae_b_kayarian@rush.edu.
  • Daven Patel
    Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, USA. Electronic address: Daven_V_Patel@rush.edu.
  • James R O'Brien
    Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, USA. Electronic address: james_o'brien@rush.edu.
  • Evelyn K Schraft
    Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, USA. Electronic address: evelyn_k_schraft@rush.edu.
  • Michael Gottlieb
    Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, United States of America. Electronic address: MichaelGottliebMD@gmail.com.