Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records - Takeaways - MDSpire

Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records

  • By

  • Salim Yakdan

  • Ben Warner

  • Zoher Ghogawala

  • Wilson Z. Ray

  • Mohamad Bydon

  • Michael P. Steinmetz

  • Richard T. Griffey

  • Randi Foraker

  • Adam Wilcox

  • Chenyang Lu

  • Jacob K. Greenberg

  • January 20, 2026

  • 0 min

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  • 1

    Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction in older adults, often leading to severe neurological deficits.

  • 2

    Diagnosis of CSM is frequently delayed by two to six years, contributing to significant disease progression and poorer outcomes.

  • 3

    Machine learning models applied to electronic health records (EHRs) can enhance diagnostic accuracy and support early detection of CSM.

  • 4

    The study developed and validated machine learning models to predict CSM incidence up to 30 months prior to diagnosis using large-scale EHR data.

  • 5

    The clmbr-t-5k-csm model outperformed other models in predicting CSM, demonstrating significant improvements in predictive performance across various time horizons.

Original Source(s)

Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records

  • by Salim Yakdan, Ben Warner, Zoher Ghogawala, Wilson Z. Ray, Mohamad Bydon, Michael P. Steinmetz, Richard T. Griffey, Randi Foraker, Adam Wilcox, Chenyang Lu, Jacob K. Greenberg

  • January 20, 2026

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