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5 lessons learned from deploying AI at scale



“Artificial intelligence is something that’s here to stay,” Kottler said. “We should embrace it as a part of our future. And if we embrace it as part of our future, and if we embrace it and learn about it and become the experts, we can drive where this is going to go.”

1. Scaling of radiology AI adoption is a nonlinear process

At RP, the pace of implementation of AI moved pretty quickly over the first few years. But then it slowed, according to Kottler.

Processes that worked initially for pilot testing programs now needed to be rewritten, she said. In addition, infrastructure needed…


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Radiology AI
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