1st Edition
Artificial Intelligence in Neurosurgery Translatable Technologies and Current Advances
List of Contributors
Foreword
Chapter 1: Neurons to Networks – Introducing the Role of Artificial Intelligence in Modern Neurosurgery
Ethan Schonfeld and Anand Veeravagu
Chapter 2: Multimodal Foundation Models for Healthcare
Michihiro Yasunaga and Percy Liang
Chapter 3: From Data to Decisions: AI-Driven Outcome Prediction in Spine Surgery
Eunice Yang and Andrew K. Chan
Chapter 4: Outcome Prediction in Brain Surgery
Julian L. Gendreau, Amatya Bibhas, Ritvik Pulya, Kritika Gowda, Melanie Horowitz and Debraj Mukherjee
Chapter 5: Outcome Prediction in Neurosurgery: Liquid Biopsy and the Role of Machine Learning
Atharv Oak, Chetan Bettegowda and Christopher Douville
Chapter 6: Diagnostic Applications of Artificial Intelligence in Neuro Oncology
Ummey Hani, David J. Park and Steven D. Chang
Chapter 7: Detection and Diagnosis of Cerebrovascular Lesions Using Artificial Intelligence
Simon Levinson, Henk van Voorst and Jeremy J Heit
Chapter 8: Artificial Intelligence Usage by Robotics in Neurosurgery
Michael D. Monterey, Yassine Guennoun and Michael Y. Wang
Chapter 9: The Compass of the Future: Machine Learning-Guided Navigation in Spine Surgery
Rishi Jain, Dillan Prasad, Mehul Mittal, Nikhil Sriram, Joshua M. Tennyson, Noah B. Drewes, Sachin Govind, Christopher S. Ahuja, Nader S. Dahdaleh and Najib El Tecle
Chapter 10: Artificial Intelligence for Surgical Workflow Analysis
Danyal Z Khan and Hani J Marcus
Chapter 11: The Mind-Machine Interface
Benjamin C. Sherman, Paul M. Harary, Priya Bhanot and Vivek P. Buch
Chapter 12: Neurosurgical Sub-Task Automation
Heather Grimaudo, Jared Lawson, Nia Boles, Michael Longo, Nabil Simaan and Rohan Chitale
Chapter 13: Artificial Intelligence for Simulation and Neurosurgical Training
Andre A. Payman and Roberto Rodriguez Rubio
Chapter 14: Computer Vision in Neurosurgery
Jay J. Park, Michael Lee, Nehal Doiphode, Aaryan Shah, Tomasz Jan Zaluska, Audrey H. Limb, Advait Patil, Manuel Rebol, Simon Levinson and Vivek P. Buch
Chapter 15: Large Language Models in Neurosurgery
Sumedha Rai and Eric K Oermann
Chapter 16: Federated Learning in Neurosurgery
Akis Linardos, Ujjwal Baid, Sarthak Pati, Matthew W. Pease and Spyridon Bakas
Chapter 17: Policy Perspective on the Regulatory Landscape, Evaluation, and Translation of Artificial Intelligence for Neurosurgery
Samuel Browd
Chapter 18: Neurosurgical Data Sources and Data Needs for Artificial Intelligence
Maria Isabel Barros Guinle, Dhiraj Pangal, Maria José Cavagnaro, Thomas Johnstone and John K. Ratliff
Chapter 19: Current Challenges for Deep Learning Neurosurgery: Clinically Applicable Metrics and Domain Shift
Olivier Zanier, Lara M. Höbner, Raffaele Da Mutten, Luca Regli, Carlo Serra and Victor E. Staartjes
Chapter 20: Using Operating Room Audio and Video for Predictive Analytics
Recai Yilmaz, Dhiraj Pangal and Daniel Donoho
Chapter 21: Advancing Basic Laboratory Research by Artificial Intelligence
Arman Koul, Ethan Schonfeld and Anand Veeravagu
Biography
Anand Veeravagu, Associate Professor of Neurosurgery Department of Neurosurgery Stanford University School of Medicine
Dr. Veeravagu is an expert in the field of minimally invasive spine surgery and serves on national committees. He is the Director of Minimally Invasive Spine Surgery at Stanford University and Director of the Stanford Neurosurgical Artificial Intelligence and Machine Learning Laboratory. He currently serves as the team neurosurgery for the San Francisco 49ers. He is a leader in the field, having edited and authored a textbook on Robotic and Navigated Spine Surgery.
Ethan Schonfeld is a medical student at Stanford University School of Medicine. He is a member of the Stanford Neurosurgical Artificial Intelligence and Machine Learning Laboratory. He has earned a master's degree at Stanford Medicine in Biomedical Informatics where his research was focused on the generation of synthetic imaging in neurosurgery. He has authored numerous journal articles and multiple textbook chapters on artificial intelligence in neurosurgery.
