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Editorial
. 2024 Sep;34(9):5854-5855.
doi: 10.1007/s00330-024-10749-w. Epub 2024 Apr 20.

Early health technology assessment: the value of valuing AI applications

Robin Jeanna Vermeulen  1 , Tim Martin Govers  2 , Kicky Gerhilde van Leeuwen  3   4
Affiliations
Editorial

Early health technology assessment: the value of valuing AI applications

Robin Jeanna Vermeulen et al. Eur Radiol. 2024 Sep.
No abstract available

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References

    1. van Leeuwen KG, Schalekamp S, Rutten MJCM et al (2021) Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. Eur Radiol 31:3797–3804 - DOI - PubMed - PMC
    1. O’Rourke B, Oortwijn W, Schuller T, International Joint Task Group (2020) The new definition of health technology assessment: a milestone in international collaboration. Int J Technol Assess Health Care 36:187–190 - DOI - PubMed
    1. Health Technology Assessment (2024) Pan American Health Organization. https://www.paho.org/en/topics/health-technology-assessment . Accessed 27 Feb 2024
    1. Grutters JPC, Kluytmans A, van der Wilt GJ, Tummers M (2022) Methods for early assessment of the societal value of health technologies: a scoping review and proposal for classification. Value Health 25:1227–1234. https://doi.org/10.1016/j.jval.2021.12.003 - DOI - PubMed
    1. Marka AW, Luitjens J, Gassert, FT et al (2024) Artificial intelligence support in MR-imaging of incidental renal masses: an early health technology assessment. Eur Radiol. https://doi.org/10.1007/s00330-024-10643-5