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How to monitor radiology AI software after installation
By
Liz Carey
Algorithms often fail to meet performance claims that are derived from validation. In this article, we explore methods for monitoring the performance of AI tools in clinical use.
January 30, 2024
4 Trends in medical imaging in 2024: Breakthroughs in radiology productivity
AI has long been a popular term in radiology, and it looks likely to continue to be a driving force in 2024. In this article, Flywheel predicts how medical imaging AI will improve radiological assessments in the coming year.
January 30, 2024
Will new CPT codes spark utilization of quantitative MRI?
By
Liz Carey
Two new CPT codes for brain MRI will track AI software analysis of the brain with comparison to prior MR studies. Plus, what brain imaging analysis is revealing about contact sports, warfighter brain, and more.
January 30, 2024
Multimedia reports, ChatGPT can help patients understand imaging results
By
Liz Carey
Videos and ChatGPT may help patients better understand their radiology reports.
October 12, 2023
Rethinking image exchange: An untapped opportunity to deliver the Quadruple Aim
By
Rishi Nayyar
Implementing a patient-centric redesign of their image exchange is enabling many healthcare organizations to deliver on the Quadruple Aim.
October 12, 2023
Closing the loop on incidental imaging findings
By
Liz Carey
Researchers target compliance with follow-up recommendations for incidental imaging findings.
October 12, 2023
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