Imaging evaluation of a proposed 3D generative model for MRI to CT translation in the lumbar spine

Roberts, Makenze; Hinton, G. B.; Wells, Adam; Veken, Jorn Van Der; Bajger, Mariusz; Liu, Yifan; Chong, Chee; Poonnoose, Santosh; Agzarian, Marc; To, Minh‐Son

doi:10.1016/j.spinee.2023.06.399

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2024

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Cited by 8 publications

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“… 9 On one hand, AI’s perceptual and cognitive capabilities facilitate medical image identification, extraction of vital information, and provision of assistance to less experienced radiologists; 10 on the other hand, the integration of copious image data and clinical insights through machine learning enables training and refinement of AI. 11 This equips the system with the competence to diagnose diseases, thereby potentially reducing radiologists’ diagnostic oversight. In comparison to the existing operational mode of imaging departments, the AI system remains unaffected by external influences, maintaining an efficient and continuous operational state.…”

Section: Introductionmentioning

confidence: 99%