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The Role of an Artificial Intelligence Ecosystem in Radiology

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Artificial Intelligence in Medical Imaging

Abstract

Moving artificial intelligence tools for diagnostic imaging into routine clinical practice will require cooperation and collaboration between developers, physicians, regulators, and health system administrators. Radiologists can play an important role in promoting this AI ecosystem by delineating AI use cases for diagnostic imaging and developing standardized data elements and workflow integration interfaces. Structured AI use cases that define specific parameters for datasets for algorithm training and testing can promote multiple sites to develop training, and validation datasets, which can help ensure algorithms respect technical, geographic, and demographic diversity in patient populations and image acquisition, are free of unintended bias and are generalizable to widespread clinical practice. Medial specialty societies can play a role in protecting patients from unintended consequences of AI through use case development and developing programs for independent algorithm validation and monitoring the effectiveness and safety of AI tools in clinical practice through AI registries. The development and implementation of AI algorithms for medical imaging will benefit from the establishment of an AI ecosystem that includes physicians, researchers, software developers along with governmental regulatory agencies, the HIT industry, and hospital administrators all working to bring AI tools safely and efficiently into clinical practice.

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Authors and Affiliations

  1. Department of Radiology, Grandview Medical Center, Birmingham, AL, USA

    Bibb Allen

  2. American College of Radiology Data Science Institute, Reston, VA, USA

    Bibb Allen & Keith Dreyer

  3. Diagnostic Radiology, Brookwood Baptist Health, Birmingham, AL, USA

    Robert Gish

  4. Department of Radiology, Massachusetts General Hospital, Boston, MA, USA

    Keith Dreyer

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  1. Bibb Allen
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  1. ETZ Hospital, Tilburg, The Netherlands

    Erik R. Ranschaert

  2. Radiology Research and Practical Centre, Moscow, Russia

    Sergey Morozov

  3. Department of Radiology, Northwest Hospital Group, Alkmaar, The Netherlands

    Paul R. Algra

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Allen, B., Gish, R., Dreyer, K. (2019). The Role of an Artificial Intelligence Ecosystem in Radiology. In: Ranschaert, E., Morozov, S., Algra, P. (eds) Artificial Intelligence in Medical Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-94878-2_19

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