Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging
| Autor: | Uwe Meyer-Bäse, Lia Morra, Anke Meyer-Bäse, Katja Pinker |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Quantitative imaging
Breast imaging Clinical Decision-Making medical imaging Breast Neoplasms Context (language use) Review Article Image Processing Computer-Assisted medicine Medical imaging Medical technology Animals Humans Breast MRI magnetic resonance imaging Radiology Nuclear Medicine and imaging R855-855.5 medicine.diagnostic_test business.industry artificial intelligence deep learning computer-aided diagnosis radiomics Magnetic resonance imaging Precision medicine Computer-aided diagnosis Female Artificial intelligence business |
| Zdroj: | Contrast Media & Molecular Imaging, Vol 2020 (2020) Contrast Media & Molecular Imaging |
| ISSN: | 1555-4317 1555-4309 |
| Popis: | Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well-established method in breast imaging with several indications including screening, staging, and therapy monitoring. The rapid development and subsequent implementation of AI into clinical breast MRI has the potential to affect clinical decision-making, guide treatment selection, and improve patient outcomes. The goal of this review is to provide a comprehensive picture of the current status and future perspectives of AI in breast MRI. We will review DL applications and compare them to standard data-driven techniques. We will emphasize the important aspect of developing quantitative imaging biomarkers for precision medicine and the potential of breast MRI and DL in this context. Finally, we will discuss future challenges of DL applications for breast MRI and an AI-augmented clinical decision strategy. |
| Databáze: | OpenAIRE |
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