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European Radiology
Published in:

25-04-2024 | Artificial Intelligence | Commentary

The impact of AI implementation in mammographic screening: redefining dense breast screening practices

Author: Almir G. V. Bitencourt

Published in: European Radiology | Issue 10/2024

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Excerpt

Many studies have demonstrated the beneficial impact of artificial intelligence (AI) implementation on breast radiologists’ performance in the context of breast cancer mammographic screening [1]. AI has been effectively utilized as a second reader or only reader for cases deemed low risk, thereby reducing the workload of breast radiologists and enhancing overall screening outcomes [1‐3]. Breast density poses a significant challenge to mammographic screening efficacy, as it is well-established that mammography and even digital breast tomosynthesis have reduced sensitivity in women with dense breasts. Consequently, supplemental screening modalities such as breast MRI, ultrasound, or contrast-enhanced mammography are often recommended [4‐6]. …
Literature
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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-XCrossRefPubMed
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Metadata
Title
The impact of AI implementation in mammographic screening: redefining dense breast screening practices
Author
Almir G. V. Bitencourt
Publication date
25-04-2024
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2024
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-024-10761-0

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