A review of the application of novel intervertebral disc diagnostic technologies integrated with artificial intelligence in medical imaging

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Spinal imaging evaluates various structures, with intervertebral disc pathologies significantly contributing to chronic low back pain and neurological impairment.
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Conventional imaging modalities like MRI, CT, and X-ray have distinct utilities and limitations, impacting the accuracy of intervertebral disc diagnoses.
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Manual assessment in traditional diagnostics is labor-intensive, time-consuming, and prone to inter-observer variability, leading to compromised reliability.
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Artificial Intelligence (AI) enhances medical imaging by optimizing workflows, improving segmentation, classification, and detection of disc pathologies.
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AI models can achieve high accuracy in diagnosing disc diseases, addressing limitations of conventional imaging and reducing missed diagnoses.

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