Announcing the 2022 Best New Methodologies and Techniques to Enhance Safety in Spine Surgery Awards!
The Safety in Spine Surgery Project (S3P) is pleased to announce the 10 winners of the Safety in Spine Surgery Month Call for Abstracts / Call for Projects.
These award winners will present their work during our two live webinars in April.
April 14 Webinar | Best Practice Guidelines & Checklists to Make Your OR Safer
Artificial Neural Network Model for Prediction of Perioperative Blood Transfusion in Adult Spinal Deformity Surgery Rafael De la Garza Ramos, MD Montefiore Medical Center
Formulation of a Web-based Spine Surgery Checklist Arvind G. Kulkarni, MD Mumbai Spine Scoliosis & Disc Replacement Centre
Post-operative Steroids in Patients with Severe Neuromuscular Scoliosis Undergoing Posterior Spinal Fusion Reduced Opioid Usage by 70% Nicholas Fletcher, MD Children's Healthcare of Atlanta/Emory University
Starting Enhanced Recovery After Surgery (ERAS) from Scratch at an Academic Institution Spine Program Luke Harris University of South Alabama
Best Practice Consensus Guidelines for Diagnosing, Treating, and Preventing Surgical Site Infections in High-risk Scoliosis Paul Sponseller, MD Johns Hopkins Medicine
April 21 Webinar | Robotics & Navigation in Spine Surgery: Views Across Generations of Spine Surgeons
A Radiographic Comparison of Spinal Navigation and Freehand Techniques in Thoracolumbar Pedicle Screw Insertion Mohammed Munim Midwest Orthopaedics at RUSH, Rush University Medical Center
Augmented Reality to Increase Safety in Minimally Invasive Transforaminal Lumbar Interbody Fusion with Total Navigation Fabian Sommer, MD Weill Cornell Medicine/New York Presbyterian
Novel 2D Long Film Imaging Utility to Avoid Wrong Level Spinal Surgery Rajiv Dharnipragada, BA University of Minnesota
Safety and Feasibility of Augmented Reality-assisted Resection of Benign Intradural Extramedullary Tumors Fabian Sommer, MD Weill Cornell Medicine/New York Presbyterian
The Adjunct Use of Descending Neurogenic-evoked Potentials When Transcranial Motor-Evoked Potentials Degrade into Warning Criteria: Minimizing False-Positive Events Scott J. Luhmann, MD Washington University
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