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A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results found in 2011. Datascarcity and data imbalance are two of these challenges.
The techniques make AI model development scalable and computationally inexpensive, as you can build large models with several parameters to capture general data patterns from a few samples. The former simply means synthesizing more data for training tasks using generative and augmentation methods. Let’s discuss each in more detail.
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