工作流程
计算机科学
软件
放射科
医学物理学
人工智能
数据科学
医学
程序设计语言
数据库
作者
Suryansh Bajaj,Darshan Gandhi,Divya Nayar
标识
DOI:10.1016/j.acra.2023.08.039
摘要
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.
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