Potential Applications and Impact of ChatGPT in Radiology.

Journal: Academic radiology
Published Date:

Abstract

Radiology has always gone hand-in-hand with technology and artificial intelligence (AI) is not new to the field. While various AI devices and algorithms have already been integrated in the daily clinical practice of radiology, with applications ranging from scheduling patient appointments to detecting and diagnosing certain clinical conditions on imaging, the use of natural language processing and large language model based software have been in discussion for a long time. Algorithms like ChatGPT can help in improving patient outcomes, increasing the efficiency of radiology interpretation, and aiding in the overall workflow of radiologists and here we discuss some of its potential applications.

Authors

  • Suryansh Bajaj
    Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
  • Darshan Gandhi
    Department of Diagnostic Radiology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. Electronic address: darshangandhi7@gmail.com.
  • Divya Nayar
    Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205 (D.N.).