AI tools in Emergency Radiology reading room: a new era of Radiology.

Journal: Emergency radiology
Published Date:

Abstract

Artificial intelligence tools in radiology practices have surged, with modules developed to target specific findings becoming increasingly prevalent and proving valuable in the daily emergency room radiology practice. The number of US Food and Drug Administration-cleared radiology-related algorithms has soared from just 10 in early 2017 to over 200 presently. This review will concentrate on the present utilization of AI tools in clinical ER radiology setting, including a brief discussion of the limitations of the technique. As radiologists, it is essential that we embrace this technology, comprehend its constraints, and use it to improve patient care.

Authors

  • Sathish Kumar Dundamadappa
    UMass Memorial Medical Center - UMass Chan Medical School, 55 Lake Avenue North, Worcester, MA, USA. sathish.dundamadappa@umassmemorial.org.