Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Timothy Smith, M.D., Ph.D.

Co-Author

This page shows the publications co-authored by Timothy Smith and Aditya Karhade.
Connection Strength

5.100
  1. Trends in High-Impact Neurosurgical Randomized Controlled Trials Published in General Medical Journals: A Systematic Review. World Neurosurg. 2019 Sep; 129:e158-e170.
    View in: PubMed
    Score: 0.816
  2. National Databases for Neurosurgical Outcomes Research: Options, Strengths, and Limitations. Neurosurgery. 2018 09 01; 83(3):333-344.
    View in: PubMed
    Score: 0.777
  3. Impact of operative length on post-operative complications in meningioma surgery: a NSQIP analysis. J Neurooncol. 2017 01; 131(1):59-67.
    View in: PubMed
    Score: 0.686
  4. Neurosurgical Infection Rates and Risk Factors: A National Surgical Quality Improvement Program Analysis of 132,000 Patients, 2006-2014. World Neurosurg. 2017 Jan; 97:205-212.
    View in: PubMed
    Score: 0.679
  5. Thirty-day readmission and reoperation after surgery for spinal tumors: a National Surgical Quality Improvement Program analysis. Neurosurg Focus. 2016 Aug; 41(2):E5.
    View in: PubMed
    Score: 0.672
  6. Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation. Spine J. 2019 11; 19(11):1764-1771.
    View in: PubMed
    Score: 0.205
  7. Natural and Artificial Intelligence in Neurosurgery: A Systematic Review. Neurosurgery. 2018 08 01; 83(2):181-192.
    View in: PubMed
    Score: 0.193
  8. Venous Thromboembolism in Patients Undergoing Craniotomy for Brain Tumors: A U.S. Nationwide Analysis. Semin Thromb Hemost. 2016 Nov; 42(8):870-876.
    View in: PubMed
    Score: 0.171
  9. Risk factors for post-operative respiratory failure among 94,621 neurosurgical patients from 2006 to 2013: a NSQIP analysis. Acta Neurochir (Wien). 2016 09; 158(9):1639-45.
    View in: PubMed
    Score: 0.167
  10. Predictors of Stroke and Coma After Neurosurgery: An ACS-NSQIP Analysis. World Neurosurg. 2016 Sep; 93:299-305.
    View in: PubMed
    Score: 0.167
  11. United States neurosurgery annual case type and complication trends between 2006 and 2013: An American College of Surgeons National Surgical Quality Improvement Program analysis. J Clin Neurosci. 2016 Sep; 31:106-11.
    View in: PubMed
    Score: 0.165
  12. Neurosurgical Defensive Medicine in Texas and Illinois: A Tale of 2 States. World Neurosurg. 2016 May; 89:112-20.
    View in: PubMed
    Score: 0.162
  13. Predicting nonroutine discharge after elective spine surgery: external validation of machine learning algorithms. J Neurosurg Spine. 2019 Jul 26; 1-6.
    View in: PubMed
    Score: 0.052
  14. Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports. JCO Clin Cancer Inform. 2019 04; 3:1-9.
    View in: PubMed
    Score: 0.051
  15. Randomized controlled trials comparing surgery to non-operative management in neurosurgery: a systematic review. Acta Neurochir (Wien). 2019 04; 161(4):627-634.
    View in: PubMed
    Score: 0.050
  16. Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review. World Neurosurg. 2018 Jan; 109:476-486.e1.
    View in: PubMed
    Score: 0.046
  17. Agents for fluorescence-guided glioma surgery: a systematic review of preclinical and clinical results. Acta Neurochir (Wien). 2017 01; 159(1):151-167.
    View in: PubMed
    Score: 0.043
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.