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    Noninterpretive Uses of Artificial Intelligence in Radiology

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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
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    UMass Chan Affiliations
    Department of Radiology
    Document Type
    Journal Article
    Publication Date
    2020-02-12
    Keywords
    Artificial intelligence
    Deep learning
    Radiology applications
    Radiology education
    Artificial Intelligence and Robotics
    Medical Education
    Radiology
    
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    Link to Full Text
    https://doi.org/10.1016/j.acra.2020.01.012
    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.
    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.2020.01.012
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/48412
    PubMed ID
    32059956
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    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1016/j.acra.2020.01.012
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