Salim Yakdan, MD, MSCI

Research Fellow
Washington University in St. Louis
Washington University in St.Louis

I am a medical doctor and researcher with a focus on spine surgery research using big data. After graduating from medical school, I trained in research at the American University of Beirut, Yale University, and the University of Michigan. Currently, I am part of the Greenberg Lab at Washington University in St. Louis, where I use advanced Machine Learning techniques and large-scale datasets to predict spinal surgery outcomes. My work focuses on uncovering patterns that influence post-operative results to support personalized, precise, and evidence-based treatment strategies for spinal care.

Poster(s):

• Association of Activity with the Risk of Developing Neck and Low Back Pain in the All of Us Research Program

• Defining Substantial Clinical Benefits of PROMIS Pain Interference and Physical Function in Patients Undergoing Lumbar and Thoracolumbar Spine Surgery

• Effectiveness of Full Endoscopic Spine Surgery vs. Open Surgery for Lumbar Degenerative Disease: Impact of Baseline Disease Severity

• Mobile Health Assessment of the Recovery Process in the First Month Following Lumbar and Thoracolumbar Spine Surgery

• Multi-domain Postoperative Recovery Trajectories After Lumbar and Thoracolumbar Spine Surgery

• Randomized Controlled Trials Comparing Cervical Disc Arthroplasty (CDA) and Anterior Cervical Discectomy and Fusion (ACDF) in Degenerative Spine Diseases: A Systematic Review and Meta-analysis

• Sleep Disturbances Risk Factors in Degenerative Cervical Myelopathy Patients

• Sleep Physiology in Spine Disease: A Comparative Study of Cervical and Lumbar Patients

• Using Electronic Health Record to Predict Degenerative Cervical Myelopathy: A Deep Learning Approach

• Utility of the Psychache Scale in Patients Undergoing Surgery for Degenerative Lumbar Disease