From algorithms to clinical care: key challenges for AI in osteosarcoma imaging (IMAGE)
Caption
A schematic overview of major translational challenges for AI in osteosarcoma imaging, including rare and imbalanced data, annotation and reference standards, generalization and reporting, multicenter collaboration, interpretability and clinical trust, and workflow integration and safety.
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Figure created with scifig and SmartServier.
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use with credit.
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Original content