Noninterpretive Uses of Artificial Intelligence in Radiology.

Clicks: 233
ID: 96006
2020
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Abstract
We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent action by a human. Much of the recent excitement about AI in the medical literature has revolved around the ability of AI models to recognize anatomy and detect pathology on medical images, sometimes at the level of expert physicians. However, AI can also be used to solve a wide range of noninterpretive problems that are relevant to radiologists and their patients. This review summarizes some of the newer noninterpretive uses of AI in radiology.
Reference Key
richardson2020noninterpretiveacademic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Richardson, Michael L;Garwood, Elisabeth R;Lee, Yueh;Li, Matthew D;Lo, Hao S;Nagaraju, Arun;Nguyen, Xuan V;Probyn, Linda;Rajiah, Prabhakar;Sin, Jessica;Wasnik, Ashish P;Xu, Kali;
Journal Academic radiology
Year 2020
DOI
S1076-6332(20)30039-8
URL
Keywords
Deep learning artificial intelligence radiology education radiology applications

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