Artificial intelligence and deep learning – Radiology's next frontier?

    Research output: Contribution to journalReview articlepeer-review

    82 Scopus citations

    Abstract

    Tracing the use of computers in the radiology department from administrative functions through image acquisition, storage, and reporting, to early attempts at improved diagnosis, we begin to imagine possible new frontiers for their use in exam interpretation. Given their initially slow but ultimately substantial progress in the noninterpretive areas, we are left desiring and even expecting more in the interpretation realm. New technological advances may provide the next wave of progress and radiologists should be early adopters. Several potential applications are discussed and hopefully will serve to inspire future progress.

    Original languageEnglish (US)
    Pages (from-to)87-88
    Number of pages2
    JournalClinical Imaging
    Volume49
    DOIs
    StatePublished - May 2018

    Keywords

    • Artificial intelligence
    • Big data
    • Computer aided detection
    • Deep learning
    • Neural networks

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging

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