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    Validation and commissioning of AI contouring tools

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    Authors
    Green, Andrew
    Affiliation
    The University of Manchester c/o The Christie NHS Foundation Trust, Department 58- Radiotherapy Related Research, Manchester,
    Issue Date
    2020
    
    Metadata
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    Abstract
    Abstract text Artificial Intelligence (AI) has become ubiquitous in modern life, and has inevitably found uses in the clinic. The recent approval of several commercial tools for OAR segmentation has accelerated the uptake of AI contouring tools, and their validation, commissioning and ongoing QA is now of great interest and importance. In this lecture, we will explore the fundamental process by which an AI contouring tool produces contours, and investigate the implications on validation and commissioning. We will compare the commissioning of an AI tool to that of a standard registration-based tool with which the community is already familiar and highlight particular pitfalls specific to AI tools that may not have been encountered when commissioning other tools. As a concrete example, we will look at work done by colleagues at The Christie Hospital, UK during their commissioning an AI contouring workflow.
    Citation
    Green A. SP-0492: Validation and commissioning of AI contouring tools. Radiotherapy and Oncology . 2020 Nov;152:S277.
    Journal
    Radiotherapy and Oncology
    URI
    http://hdl.handle.net/10541/624329
    Type
    Meetings and Proceedings
    Language
    en
    Collections
    All Christie Publications

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