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- W3082696592 abstract "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." @default.
- W3082696592 created "2020-09-08" @default.
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- W3082696592 date "2020-08-28" @default.
- W3082696592 modified "2023-10-10" @default.
- W3082696592 title "Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging" @default.
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- W3082696592 doi "https://doi.org/10.1155/2020/6805710" @default.
- W3082696592 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7474774" @default.
- W3082696592 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32934610" @default.
- W3082696592 hasPublicationYear "2020" @default.
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