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For radiologists working today, the specter of artificial intelligence is inescapable.

In the past year, venture capitalists have continued to invest significantly in startups developing AI for medical image analysis and support, with some groups projecting a $20 billion market by 2031. But despite the proliferation of research and investment, AI products are still a hard sell for many radiology practices — even those at academic centers leading clinical research into deep learning. The tools are still in the middle of the hype cycle for any new technology: Inflated expectations are giving way to skepticism and barriers to adoption.

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