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2026 AANS Annual Scientific Meeting Main banner

    Spine

    Leveraging Artificial Intelligence and Emerging Technologies to Optimize Patient Outcomes in Spinal Surgery

    Saturday, May 2, 2026
    4:00 PM - 5:30 PM CT
    Location:301BC, Level 3, HBGCC

      Moderator(s)

    • Jacob Greenberg, MD, MSCI

      Assistant Professor, Neurosurgery
      Washington University in St. Louis School of Medicine

    • Tiffany Perry, MD, MPH

      Associate Professor Neurosurgery | Vice Chair - Department of Neurosurgery for Spine and Education
      Cedars-Sinai Medical Center
      Cedars Sinai Medical Center

    Explore how AI-driven tools and cutting-edge technologies—from predictive analytics for risk stratification to robotic guidance and advanced imaging—are revolutionizing spinal surgery. Discuss real-world applications, evidence on improved patient outcomes, and ongoing challenges in integrating these innovations into surgical practice.

    Presentations:

    • 4:00 PM - 4:06 PM CT
      Welcome and Introduction

      Speaker: Jacob Greenberg, MD, MSCI – Washington University in St. Louis School of Medicine

      Speaker: Tiffany G. Perry, MD, MPH – Cedars-Sinai Medical Center

    • 4:07 PM - 4:11 PM CT
      Predictive Analytics: Using AI to Forecast Surgical Risks and Outcomes

      Speaker: Kevin T. Huang, MD – Mass General Brigham, Harvard Medical School

    • 4:12 PM - 4:19 PM CT
      Robotic-assisted Spine Surgery: Improving Accuracy and Reducing Complications

      Speaker: Martin H. Pham, MD – University of California, San Diego

    • 4:19 PM - 4:26 PM CT
      Artificial Intelligence in Postoperative Outcome Monitoring

      Speaker: Corinna Zygourakis, MD, FAANS, FCNS – Stanford University

    • 4:26 PM - 4:33 PM CT
      Augmented and Virtual Reality: Enhancing Surgical Training and Intraoperative Visualization

      Speaker: Daniel Sciubba, MD, MBA – Northwell Health

    • 4:33 PM - 4:40 PM CT
      Advanced Imaging and Intraoperative Navigation: Impact on Precision and Patient Safety

      Speaker: Muhammad M. Abd-El-Barr, MD, PhD, FAANS – Duke University Medical Center

    • 4:40 PM - 4:47 PM CT
      Patient-reported Outcomes and Digital Health: Harnessing Technology for Shared Decision-making

      Speaker: Mohamad Bydon, MD – Department of Neurological Surgery, University of Chicago, Chicago, IL, USA

    • 4:47 PM - 4:54 PM CT
      How AI-powered Tools and Digital Platforms Are Elevating Patient Engagement and Measuring What Matters Most to Patients

      Speaker: Rohaid Ali, MD – Mass General Brigham/Harvard Medical School

    • 4:54 PM - 5:00 PM CT
      Discussion
    • 5:01 PM - 5:05 PM CT
      Increased Markers of Accelerated Biologic Aging in a Rat Model of Failed Lumbar Fusion

      Presenting Author: Yasmine Eichbaum, BA – Rothman Institute of Orthopaedics

    • 5:06 PM - 5:10 PM CT
      Diffusion Basis Spectrum Imaging Microstructural Measures in Degenerative Cervical Myelopathy and Their Relationship with mJoA Subscores

      Presenting Author: Muhammad Irfan Kaleem, MBBS – Washington University in St. Louis

    • 5:11 PM - 5:15 PM CT
      Global Surgeon Preferences In Treatment Of L4-5 Spondylolisthesis: An AO Spine Survey Study

      Presenting Author: Nicolas Mjaess, BS – Weill Cornell Medical College

    • 5:16 PM - 5:20 PM CT
      Using Machine Learning to Identify Risk Factors for Extended Intensive Care Unit Length of Stay in Adult Patients with Acute Traumatic Cervical Spinal Cord Injury

      Presenting Author: Ethan Brown, BS – Donald and Hofstra Zucker School of Medicine

    • 5:21 PM - 5:25 PM CT
      Artificial Intelligence Versus Manual Chart Extraction for Lumbar Fusion Variables: A Single-Center Validation Study of 954 Patients

      Presenting Author: Danyal Quraishi, BS – Drexel University College of Medicine