The impact of AI implementation in mammographic screening: redefining dense breast screening practices
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00330-024-10761-0.pdf
Reference10 articles.
1. van Nijnatten TJA, Payne NR, Hickman SE et al (2023) Overview of trials on artificial intelligence algorithms in breast cancer screening—a roadmap for international evaluation and implementation. Eur J Radiol 167:111087. https://doi.org/10.1016/j.ejrad.2023.111087
2. Lång K, Josefsson V, Larsson A-M et al (2023) Artificial intelligence-supported screen reading versus standard double reading in the mammography screening with artificial intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening acc. Lancet Oncol 24:936–944. https://doi.org/10.1016/S1470-2045(23)00298-X
3. Lamb LR, Lehman CD, Gastounioti A et al (2022) Artificial Intelligence (AI) for screening mammography, from the AJR special series on AI applications. AJR Am J Roentgenol 219:369–380. https://doi.org/10.2214/AJR.21.27071
4. Vourtsis A, Berg WA (2019) Breast density implications and supplemental screening. Eur Radiol 29:1762–1777. https://doi.org/10.1007/s00330-018-5668-8
5. Destounis SV, Santacroce A, Arieno A (2020) Update on breast density, risk estimation, and supplemental screening. AJR Am J Roentgenol 214:296–305. https://doi.org/10.2214/AJR.19.21994
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