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David Okonkwo, MD, Neurosurgery, Pittsburgh, PA

DavidOkwudiOkonkwoMD

Neurosurgery Pittsburgh, PA

"Professor of Neurological Surgery Executive Vice Chair, Clinical Operations Clinical Director, Brain Trauma Research Center University of Pittsburgh School of Medicine"

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  • Office

    200 Lothrop St
    Pittsburgh, PA 15213
    Phone+1 412-647-2100

Education & Training

  • University of Virginia Medical Center
    University of Virginia Medical CenterResidency, Neurological Surgery, 2001 - 2006
  • University of Virginia Medical Center
    University of Virginia Medical CenterInternship, Transitional Year, 2000 - 2001
  • Virginia Commonwealth University School of Medicine
    Virginia Commonwealth University School of MedicineClass of 2000

Certifications & Licensure

  • PA State Medical License
    PA State Medical License 2006 - 2024
  • VA State Medical License
    VA State Medical License 2000 - 2006
  • American Board of Neurological Surgery Neurological Surgery

Clinical Trials

Publications & Presentations

PubMed

Journal Articles

  • Limitations of Multidetector Computed Tomography Angiography for the Diagnosis of Blunt Cerebrovascular Injury Related  
    Ramesh Grandhi, Gregory M Weiner, David M Panczykowski, David O Okonkwo, Journal of Neurosurgery
  • Limitations of Multidetector Computed Tomography Angiography for the Diagnosis of Blunt Cerebrovascular Injury Related  
    Ramesh Grandhi, Gregory M Weiner, David M Panczykowski, David O Okonkwo, Journal of Neurosurgery

Press Mentions

  • New Research Finds That Concussion Incidence Increases the Risk of a Suicide Attempt in Some Children with a History of Depression
    New Research Finds That Concussion Incidence Increases the Risk of a Suicide Attempt in Some Children with a History of DepressionJuly 1st, 2022
  • Machine-Learning Tool to Speed up Treatment of Traumatic Brain Injury
    Machine-Learning Tool to Speed up Treatment of Traumatic Brain InjuryMay 1st, 2022
  • Machine Learning Model Quickly and Accurately Predicts Outcomes for TBI Patients
    Machine Learning Model Quickly and Accurately Predicts Outcomes for TBI PatientsApril 26th, 2022
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