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What if our vision could improve your focus?
| For healthcare professionals and relevant decision makers. |
| Why AI in Radiology?
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It’s no secret that ever-increasing pressure is creating significant challenges for radiologists and hospitals, which also affects patient care. Today, the industry is seeing:
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 | Greater complexity, with 5x more images
produced per scan |
| High stress, with 49% of radiologists reporting
signs of burnout |
| Diagnostic errors, with approximately 40 million
per year related to imaging, worldwide. |
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1McDonald, Schwartz, Eckel et al., 2015, The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload, Academic Radiology, 22(9), 1191-1198
2Kane, L. (2022) Medscape National Physician Burnout & Suicide Report 2022: The Generational Divide. Medscape Retrieved June 22, 2022 from https://www.medscape.com/slideshow/2022-lifestyle-burnout- 6014664?reg=1#2
3Itri, J. N., Tappouni, R. R., McEachern, R. O., Pesch, A. J., Patel, S. H. (2018) Fundamentals of Diagnostic Error in Imaging. RadioGraphics 38, 1845-1865. Retrieved June 8, 2022 from https://pubs.rsna.org/doi/epdf/10.1148/rg.2018180021 *https://www.accessdata.fda.gov/cdrh_docs/pdf16/k161201.pdf
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