Despite ongoing challenges related to standardization, acquisition time, multicenter reproducibility, and clinical implementation, quantitative MRI is expected to become an integral component of routine musculoskeletal and neuroimaging practice.
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There is sufficient evidence indicating the benefits of AI in increasing the accuracy in diagnosis, objective craniofacial evaluation, and customized treatment plans, whereas computational therapy is still experimental, and future studies need to concentrate on multicenter data sharing, multimodal explainable AI, precision genomics, and translational framework.
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