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    The content on this page is not current guidance and is only for the purposes of the consultation process.

    Artificial intelligence technologies to help detect fractures on X-rays in urgent care: early value assessment

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    Draft guidance document for consultation [No ACIC].docx

    The National Institute for Health and Care Excellence (NICE) is producing guidance on using artificial intelligence technologies to help detect fractures on X-rays in urgent care in the NHS in England. The diagnostics advisory committee has considered the evidence and the views of clinical and patient experts. This topic is an early value assessment. Early value assessment guidance recommendations are conditional while more evidence is collected on the technology to address uncertainty in the evidence base. Once further evidence is collected, this guidance will be reviewed to make a decision on the routine adoption of the technology.

    This document has been prepared for public consultation. It summarises the evidence and views that have been considered, and sets out the recommendations made by the committee. NICE invites comments from registered stakeholders, healthcare professionals and the public. This document should be read along with the evidence (the external assessment report).

    The advisory committee is interested in receiving comments on the following:

    • Has all of the relevant evidence been taken into account?

    • Are the summaries of clinical and cost effectiveness reasonable interpretations of the evidence?

    • Are the recommendations sound, and a suitable basis for guidance to the NHS?

    Equality issues

    NICE is committed to promoting equality of opportunity, eliminating unlawful discrimination and fostering good relations between people with particular protected characteristics and others. Please let us know if you think that the recommendations may need changing to meet these aims. In particular, please tell us if the recommendations:

    • could have a different effect on people protected by the equality legislation than on the wider population, for example by making it more difficult in practice for a specific group to access the technology

    • could have any adverse effect on people with a particular disability or disabilities.

    Please provide any relevant information or data you have about such effects and how they could be avoided or reduced.

    Note that this document is not NICE's final guidance on artificial intelligence technologies to help detect fractures on X-rays in urgent care. The recommendations in section 1 may change after consultation.

    After consultation, the committee will meet again to consider the evidence, this document and comments from the consultation. After considering the comments, the committee will prepare its final recommendations, which will be the basis for NICE's guidance on the use of the technology in the NHS in England.

    For further details, see NICE health technology evaluations: the manual.

    Key dates:

    Closing date for comments: 5 November 2024