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Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review – ADDENDUM

Published online by Cambridge University Press:  08 January 2025

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Abstract

Type
Addendum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of World Association for Disaster and Emergency Medicine

The following has been added to the Limitations section (beginning Page 9) of the above article:

Finally, this review did not assess whether the ML models deployed in the included studies had obtained regulatory approval from agencies such as the United States Food and Drug Administration (FDA; Silver Spring, Maryland USA) or other relevant authorities. This limitation should be acknowledged when considering the broader applicability of these models in clinical practice.

References

Alrawashdeh, A, Alqahtani, S, Alkhatib, ZI, et al. Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review. Prehospital and Disaster Medicine. Published online 2024:1-11. doi: 10.1017/S1049023X24000414 CrossRefGoogle Scholar