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Comment
. 2024 Jun;76(6):904.
doi: 10.1002/acr.25310. Epub 2024 Feb 14.

Clinical evaluation is critical for the implementation of artificial intelligence in health care: comment on the article by Mickley et al

Alix Bird  1 , Christopher McMaster  2 , David Liew  2
Affiliations
Comment

Clinical evaluation is critical for the implementation of artificial intelligence in health care: comment on the article by Mickley et al

Alix Bird et al. Arthritis Care Res (Hoboken). 2024 Jun.
No abstract available

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Comment on

References

    1. Mickley JP, Grove AF, Rouzrokh P, et al. A stepwise approach to analyzing musculoskeletal imaging data with artificial intelligence. Arthritis Care Res (Hoboken) 2024;76(5):590–599.
    1. Oakden‐Rayner L, Dunnmon J, Carneiro G, et al. Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. Proc ACM Conf Health Inference Learn (2020) 2020;2020:151–159.
    1. Tikhomirov L, Semmler C, Searston RA. Medical AI for radiology: the lost cognitive perspective. PsyArXiv Preprint posted online June 9, 2023. https://doi.org/10.31234/osf.io/79hvb
    1. Wiens J, Saria S, Sendak M, et al. Do no harm: a roadmap for responsible machine learning for health care. Nat Med 2019;25(9):1337–1340.
    1. Vasey B, Nagendran M, Campbell B, et al. Reporting guideline for the early‐stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE‐AI. Nat Med 2022;28(5):924–933.

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