Artificial intelligence in breast imaging: Hopes and challenges Künstliche Intelligenz in der Mammadiagnostik: Hoffnungen und Herausforderungen
Dietzel M, Resch A, Baltzer PA (2025)
Publication Type: Journal article
Publication year: 2025
Journal
Book Volume: 65
Pages Range: 187-193
Journal Issue: 3
DOI: 10.1007/s00117-024-01409-7
Abstract
Clinical/methodical issue: Artificial intelligence (AI) is being increasingly integrated into clinical practice. However, the specific benefits are still unclear to many users. Standard radiological methods: In principle, AI applications are available for all imaging modalities, with a particular focus on mammography in breast diagnostics. Methodical innovations: AI promises to filter examinations into negative and clearly positive findings, and thereby reduces part of the radiological workload. Other applications are not yet as widely established. Performance: AI methods for mammography, and to a lesser extent tomosynthesis, have already reached the diagnostic quality of radiologists. Achievements: Except for second-opinion applications/triage in mammography, most methods are still under development. Practical recommendations: Currently, most AI applications must be critically evaluated by potential users regarding their maturity and practical benefits.
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Austria (AT)How to cite
APA:
Dietzel, M., Resch, A., & Baltzer, P.A. (2025). Artificial intelligence in breast imaging: Hopes and challenges Künstliche Intelligenz in der Mammadiagnostik: Hoffnungen und Herausforderungen. Die Radiologie, 65(3), 187-193. https://doi.org/10.1007/s00117-024-01409-7
MLA:
Dietzel, Matthias, Alexandra Resch, and Pascal A.T. Baltzer. "Artificial intelligence in breast imaging: Hopes and challenges Künstliche Intelligenz in der Mammadiagnostik: Hoffnungen und Herausforderungen." Die Radiologie 65.3 (2025): 187-193.
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