Todd Hollon

Todd Hollon, MD is an Assistant Professor in the Department of Neurological Surgery at the University of Michigan Medical School. He serves as Program Director for Artificial Intelligence in Neurosurgery, integrating advanced computational methods into clinical practice. His work focuses on AI-driven diagnostic tools, medical imaging innovations, and glioma treatment optimization. Located at the Neurosurgery Clinic in the Taubman Center, his research spans tumor microenvironment analysis, intraoperative diagnostics, and federated learning collaborations.

Dr. Hollon’s research interests include applying artificial intelligence to neurosurgical challenges, such as real-time tumor detection, label-free histology analysis, and predictive clinical trial enrollment. He has pioneered techniques like stimulated Raman histology for rapid intraoperative diagnosis and developed models like SpinePose for spinal parameter prediction. His work bridges machine learning, biomedical optics, and clinical neuro-oncology.

Key contributions include foundational work on AI-based molecular classification of brain tumors, federated learning for cross-institutional collaboration, and advancements in glioma recurrence prediction. His articles highlight a focus on scalable medical imaging solutions and translational research to improve surgical outcomes and personalized therapy.

While no formal awards are listed, his extensive publication record reflects significant contributions to neurosurgical AI and tumor biology. Collaborations with institutions worldwide enable large-scale data integration, advancing both academic and clinical applications. His lab’s innovations aim to standardize diagnostic workflows and enhance precision medicine in neuro-oncology.