Références :

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• CCD Health. (n.d.). How AI improves healthcare scheduling operations [+ case study]. Retrieved December 16, 2025, from https://ccdcare.com/resource-center/ai-in-healthcare-scheduling/

• Clinical impact of AI in radiology department management: A systematic review. (2024). La Radiologia Medica, 129(11), 1656–1666. https://doi.org/10.1007/s11547-024-01880-1

• 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

• SHIFT | Smart Hospital. (n.d.). C.2: Reduction of idle times of MRI systems in radiology departments through the use of AI-based scheduling software – MRIdle. Retrieved December 16, 2025, from https://future.hospital/en/projects/pillar-c-patient-staff-empowerment-pse/c2-reduction-of-idle-times-of-mri-systems-in-radiology-departments-through-the-use-of-ai-based-scheduling-software-mridle

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