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. 2021 May;124(11):1749-1750.
doi: 10.1038/s41416-021-01302-3. Epub 2021 Mar 19.

AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation

Rubeta N Matin  1 , Jacqueline Dinnes  2   3
Affiliations

AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation

Rubeta N Matin et al. Br J Cancer. 2021 May.

Abstract

Smartphone applications ("apps") with artificial intelligence (AI) algorithms are increasingly used in healthcare. Widespread adoption of these apps must be supported by a robust evidence-base and app manufacturers' claims appropriately regulated. Current CE marking assessment processes inadequately protect the public against the risks created by using smartphone diagnostic apps.

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Conflict of interest statement

The authors declare no competing interests.

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References

    1. Ferrante di Ruffano L, Takwoingi Y, Dinnes J, Chuchu N, Bayliss SE, Davenport C, et al. Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults. Cochrane Database Syst. Rev. 2019;12:CD013186. - PMC - PubMed
    1. Ipsos-MORI. Technology tracker Q3. https://www.ipsos.com/sites/default/files/ct/publication/documents/2018-... (2018).
    1. Flaten, H. K., St Claire, C., Schlager, E., Dunnick, C. A. & Dellavalle R. P. Growth of mobile applications in dermatology—2017 update. Dermatol Online J.24, 13030/qt3hs7n9z6 (2018) - PubMed
    1. Freeman K, Dinnes J, Chuchu N, Takwoingi Y, Bayliss SE, Matin RN, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi: 10.1136/bmj.m127. - DOI - PMC - PubMed
    1. Udrea A, Mitra GD, Costea D, Noels EC, Wakkee M, Siegel DM, et al. Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms. J. Eur. Acad. Dermatol. Venereol. 2020;34:648–655. doi: 10.1111/jdv.15935. - DOI - PubMed

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