Harvard Catalyst Profiles

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Mitchel B Harris, M.D.

Co-Author

This page shows the publications co-authored by Mitchel Harris and Daniel Tobert.
Connection Strength

1.272
  1. Prospective comparison of the accuracy of the New England Spinal Metastasis Score (NESMS) to legacy scoring systems in prognosticating outcomes following treatment of spinal metastases. Spine J. 2022 01; 22(1):39-48.
    View in: PubMed
    Score: 0.232
  2. Development of prediction models for clinically meaningful improvement in PROMIS scores after lumbar decompression. Spine J. 2021 03; 21(3):397-404.
    View in: PubMed
    Score: 0.226
  3. Prospective validation of a clinical prediction score for survival in patients with spinal metastases: the New England Spinal Metastasis Score. Spine J. 2021 01; 21(1):28-36.
    View in: PubMed
    Score: 0.215
  4. The Clinical Implications of Adding CT Angiography in the Evaluation of Cervical Spine Fractures: A Propensity-Matched Analysis. J Bone Joint Surg Am. 2018 Sep 05; 100(17):1490-1495.
    View in: PubMed
    Score: 0.194
  5. Utility of Adding Magnetic Resonance Imaging to Computed Tomography Alone in the Evaluation of Cervical Spine Injury: A Propensity-Matched Analysis. Spine (Phila Pa 1976). 2018 02 01; 43(3):179-184.
    View in: PubMed
    Score: 0.187
  6. Radiological and clinical features of traumatic atlanto-occipital dislocation. Emerg Radiol. 2021 Aug; 28(4):713-722.
    View in: PubMed
    Score: 0.057
  7. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery. Spine J. 2021 10; 21(10):1635-1642.
    View in: PubMed
    Score: 0.054
  8. Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy? Spine J. 2020 10; 20(10):1602-1609.
    View in: PubMed
    Score: 0.054
  9. Natural language processing for automated detection of incidental durotomy. Spine J. 2020 05; 20(5):695-700.
    View in: PubMed
    Score: 0.053
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.