
Cas 2 : Clinique privée, scanners rentables mais radiologues épuisés
Présentation du cas :
Références :
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CapMinds. (2025, June 30). How AI routing and workflow design are speeding up imaging in hospitals. https://www.capminds.com/blog/how-ai-routing-and-workflow-design-are-speeding-up-imaging-in-hospitals/ (CapMinds -)
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Enlitic. (n.d.). Enlitic for radiologists: Increase radiologist efficiency & reading workflow. https://enlitic.com/radiology/ (Enlitic)
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Oxipit. (2024, December 13). Transforming radiology workflows: Leiden University Medical Centre’s journey with Oxipit’s AI solutions. https://oxipit.ai/case-study/transforming-radiology-workflows-leiden-university-medical-centres-journey-with-oxipits-ai-solutions/ (oxipit.ai)
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Ranschaert, E., Topff, L., & Pianykh, O. (2021). Optimization of radiology workflow with artificial intelligence. Radiologic Clinics of North America, 59(6), 955–966. https://doi.org/10.1016/j.rcl.2021.06.006
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Tran, D. (2025, September 10). AI in radiology: Top use cases you need to know. SmartDev. https://smartdev.com/ai-use-cases-in-radiology/ (smartdev.com)
