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Purpose of review: To review the current evidence for the use of magnetic resonance imaging (MRI) as a supplemental breast cancer screening method for women with dense breast tissue and otherwise at average risk, and to answer whether the current evidence supports supplemental screening with breast MRI in this patient population. Recent findings: The DENSE trial showed a statistically significant decrease in interval cancers with breast MRI screening vs. mammography alone and the EA1141 trial showed a statistically significant increase in cancer detection rate with abbreviated breast MRI compared to digital breast tomosynthesis (DBT). These trials provide evidence to support MRI as a supplemental breast cancer screening method in this population. Summary: MRI screening has a high detection rate for breast cancer in women with dense breasts with otherwise average risk and is recommended to be considered a supplemental screening method by multiple organizations in the USA and Europe. [ABSTRACT FROM AUTHOR]

Digital cultural assets are often thought to exist in separate spheres based on their two principal points of origin: digitized and born digital. Increasingly, advances in digital curation are blurring this dichotomy, by introducing so-called "collections as data," which regardless of their origination make cultural assets more amenable to the application of new computational tools and methodologies. This paper brings together archivists, scholars, and technologists to demonstrate computational treatments of digital cultural assets using Artificial Intelligence (AI) and Machine Learning (ML) techniques that can help unlock hard-to-reach archival content. It describes an extended, iterative study applied to digitized and datafied WWII-era records housed at the FDR Presidential Library, rich content that is regrettably under-utilized by scholars examining American responses to the Holocaust. Authors detail the benefits of interdisciplinary collaboration for evaluating user needs, identifying and applying tools and methodologies (including ML through object detection and AI through Named Entity Recognition or NER), and reaching the real-world outcome of public access to augmented data. They also discuss issues of digital representation, relational context, and interface design to enable new modes of public and scholarly access. While based on a case study, we believe that this work is a substantial contribution to revealing the strengths and weaknesses of using AI/ML systems in cultural organizations. We give particular care to lessons learned, and generalize the approach taken across broad classes of collections with a focus on responsive iterations, reproducibility, and the relevance of data and its structures to users. [ABSTRACT FROM AUTHOR]

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Copyright of Archiv für Elektrotechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archiv für Elektrotechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archiv für Elektrotechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archiv für Elektrotechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archiv für Elektrotechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Archiv für Elektrotechnik is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)