Excluding specificity from research and development priorities is delaying the AI adoption in breast cancer screening
Author:
Funder
Ministero della Salute
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-09733-7.pdf
Reference10 articles.
1. Koch HW, Larsen M, Bartsch H, Kurz KD, Hofvind S (2023) Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases. Eur Radiol 33(5):3735–3743. https://doi.org/10.1007/s00330-023-09461-y
2. Freeman K, Geppert J, Stinton C et al (2021) Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy. BMJ 374:n1872. https://doi.org/10.1136/bmj.n1872
3. Rodríguez-Ruiz A, Krupinski E, Mordang JJ et al (2019) Detection of breast cancer with mammography: Effect of an artificial intelligence support system. Radiology 290(2):305–314. https://doi.org/10.1148/radiol.2018181371
4. Watanabe AT, Lim V, Vu HX et al (2019) Improved cancer detection using artificial intelligence: a retrospective evaluation of missed cancers on mammography. J Digit Imaging 32(4):625–637. https://doi.org/10.1007/s10278-019-00192-5
5. Salim M, Wåhlin E, Dembrower K et al (2020) External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms. JAMA Oncol 6(10):1581–1588. https://doi.org/10.1001/jamaoncol.2020.3321
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1. Artificial intelligence for breast cancer screening: breathtaking results and a word of caution;The Lancet Oncology;2023-08
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