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The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network
کاربرد یادگیری ماشین برای بهبود کیفیت از طریق لنز شبکه ارزش رادیولوژی-2019 Recent advances in machine learning and artificial intelligence offer promising applications to radiology quality improvement initiatives
as they relate to the radiology value network. Coordination within the interlocking web of systems, events, and stakeholders in the
radiology value network may be mitigated though standardization, automation, and a focus on workflow efficiency. In this article the
authors present applications of these various strategies via use cases for quality improvement projects at different points in the radiology
value network. In addition, the authors discuss opportunities for machine-learning applications in data aggregation as opposed to
traditional applications in data extraction. Key Words: Machine learning | artificial intelligence | radiology quality improvement | radiology value network | data aggregation |
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