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Editorial
. 2019 Apr;29(4):1637-1639.
doi: 10.1007/s00330-018-5995-9. Epub 2019 Feb 8.

Artificial intelligence in radiology: who's afraid of the big bad wolf?

Benoit Gallix  1   2 , Jaron Chong  3   4
Affiliations
Editorial

Artificial intelligence in radiology: who's afraid of the big bad wolf?

Benoit Gallix et al. Eur Radiol. 2019 Apr.

Abstract

This Editorial comment refers to the article "Medical students' attitude towards artificial intelligence: a multicenter survey," Pinto Dos Santos D, et al Eur Radiol 2018. KEY POINTS: • Medical students are not well informed of the potential consequences of AI in radiology. • The fundamental principles of AI-as well as its application in medicine-must be taught in medical schools. • The radiologist specialty must actively reflect on how to validate, approve, and integrate AI algorithms into our clinical practices.

Keywords: Artificial intelligence (AI); Diagnostic imaging; Education; Machine learning; Medical.

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References

    1. JAMA. 2018 Sep 18;320(11):1101-1102 - PubMed
    1. JAMA. 2017 Dec 12;318(22):2211-2223 - PubMed
    1. Eur Radiol. 2019 Apr;29(4):1640-1646 - PubMed
    1. Nature. 2017 Feb 2;542(7639):115-118 - PubMed
    1. J Am Coll Radiol. 2018 Dec;15(12):1753-1757 - PubMed

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