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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
UMass Chan Affiliations
Department of RadiologyDocument Type
Journal ArticlePublication Date
2020-02-12Keywords
Artificial intelligenceDeep learning
Radiology applications
Radiology education
Artificial Intelligence and Robotics
Medical Education
Radiology
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Show full item recordAbstract
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.Source
Richardson ML, Garwood ER, Lee Y, Li MD, Lo HS, Nagaraju A, Nguyen XV, Probyn L, Rajiah P, Sin J, Wasnik AP, Xu K. Noninterpretive Uses of Artificial Intelligence in Radiology. Acad Radiol. 2020 Feb 12:S1076-6332(20)30039-8. doi: 10.1016/j.acra.2020.01.012. Epub ahead of print. PMID: 32059956. Link to article on publisher's site
DOI
10.1016/j.acra.2020.01.012Permanent Link to this Item
http://hdl.handle.net/20.500.14038/48412PubMed ID
32059956Related Resources
ae974a485f413a2113503eed53cd6c53
10.1016/j.acra.2020.01.012