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Beyond hardware: Can AI make cardiac imaging more accessible?
By Philips
Hardware is rapidly reaching its physical limitations for increasing quality in cardiac exams. Can AI offer solutions?
June 6, 2024
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How AI has improved CT image reconstruction for cardiac cases
By Liz Carey
Deep learning-based image reconstruction (DLR) technology continues to demonstrate its potential to improve on legacy reconstruction methods.
June 6, 2024
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AI-enhanced cardiac CT imaging could help curb cardiovascular events
By Liz Carey
Where AI has been developed to aid decision-making in patients with challenging autoimmune disorders and suspected coronary artery disease, certain AI-derived measures may be outpacing others for potential use in clinical practice.
June 6, 2024
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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
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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
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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
Researchers used diffusion-tensor imaging, an MRI technique, to study the impact of soccer heading on the brain. This method tracks the microscopic movement of water molecules through brain tissue to characterize the brain's microstructure. Image and caption courtesy of the RSNA.
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
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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
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Closing the loop on incidental imaging findings
By Liz Carey
Researchers target compliance with follow-up recommendations for incidental imaging findings.
October 12, 2023
Incidental imaging finding. Image courtesy of Hailey Choi, MD, of the University of California, San Francisco.
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