Todd C Hollon, MD

 Todd C. Hollon
Joseph R Novello M.D. and Alfredo Quinones-Hinojosa M.D.
Research Professor of Neurosurgery
Assistant Professor of Neurosurgery
Program Director
Artificial Intelligence in Neurosurgery
Medical School
Office:
University of Michigan–Ann Arbor
Department of Neurosurgery
1500 East Medical Center Drive
Ann Arbor, MI 48109-5338
Available to mentor
Todd C Hollon, MD
Todd C. Hollon
Assistant Professor
  • Qualifications
  • Center Memberships
  • Recent Publications

  • Manage Your Profile

    • Qualifications
    • Residency
      University of Michigan–Ann Arbor, Department of Neurosurgery, Ann Arbor, United States
      2013 - 2020
      Residency
    • Residency
      University of Michigan–Ann Arbor, Ann Arbor, United States
      2019 - 2020
      Chief Resident
    • Clinical Fellowship
      University of Utah, Salt Lake City, United States
      2020 - 2020
      Clinical Fellowship
    • Postdoctoral Fellow
      University of Michigan–Ann Arbor, Ann Arbor, United States
      2016 - 2018
      Postdoctoral Fellowship
    • MD
      Ohio State University, Columbus, Ohio, United States
      2009 - 2013
    • BA
      University of Michigan, Ann Arbor, MI, United States
      2004 - 2008

    Center Memberships
    • Center Member
      Rogel Cancer Center
    • Center Member
      Center for Computational Medicine and Bioinformatics
    • Center Member
      AI and Digital Health Innovation
    • Center Member
      Frankel Institute for Heart and Brain Health

    Recent Publications

     See All Publications
    • Journal Article
      Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
      Hollon T, Jiang C, Chowdury A, Nasir-Moin M, Kondepudi A, Aabedi A, Adapa A, Al-Holou W, Heth J, Sagher O, Lowenstein P, Castro M, Wadiura LI, Widhalm G, Neuschmelting V, Reinecke D, von Spreckelsen N, Berger MS, Hervey-Jumper SL, Golfinos JG, Snuderl M, Camelo-Piragua S, Freudiger C, Lee H, Orringer DA. Nature Medicine, 2023 Apr 1; 29 (4): 828 - 832. DOI:10.1038/s41591-023-02252-4
      PMID: 36959422
    • Journal Article
      AI-driven label-free Raman spectromics for intraoperative spinal tumor assessment
      Reinecke D, Müller N, Meissner AK, Fürtjes G, Leyer L, Wang C, Ion-Margineanu A, Maarouf N, Smith A, Hollon TC, Jiang C, Hou X, Al-Shughri A, Körner LI, Widhalm G, Roetzer-Pejrimovsky T, Snuderl M, Camelo-Piragua S, Golfinos JG, Goldbrunner R, Orringer DA, von Spreckelsen N, Neuschmelting V. Npj Digital Medicine, 2026 Dec 1; 9 (1): DOI:10.1038/s41746-025-02279-6
    • Journal Article
      Benchmarking the Brain’s Blood Vessels — Why We Need Specialized Models in Medical AI
      Hollon T. NEJM AI, 2026 Jul 25; 3 (8): DOI:10.1056/aie2600897
    • Journal Article
      AI-Powered Pipeline Transforms Neurosurgical Articles Into High-Quality Graphical Abstracts
      Alyakin A, Stryker J, Lee JV, Feng R, Hollon T, Kondziolka D, Oermann EK. Neurosurgery Practice, 2026 Jun 1; 7 (2): 1 - 7. DOI:10.1227/neuprac.0000000000000230
    • Preprint
      SIGNAL: A Scalable, Real-World Model for Rapid Intraoperative Molecular Classification of Gliomas Using Stimulated Raman Histology.
      Goff NK, Markert JE, Reinecke D, Springer A, Chen AM, Park M, Malte G, Scotford-Broemmer K, Hoonsbeen S, Eddy K, Chowdury A, Jiang C, Kondepudi A, Meissner A-K, Fürtjes G, Müller N, Neuschmelting V, Pekmezci M, Young J, Freudinger C, Snuderl M, Berger M, Hervey-Jumper S, Golfinos JG, Hollon T, Orringer DA. 2026 May 13; DOI:10.64898/2026.05.11.26350247
      PMID: 42180331
    • Journal Article
      139 General Machine Intelligence for Clinical Neuroimaging
      Hollon TC, Kondepudi A, Lyu Y, Rao A, Zhao C, Chowdury A, Joshi RS, Pandey AS. Neurosurgery, 2026 Mar 17; 72 (Supplement_1): 22 - 23. DOI:10.1227/neu.0000000000003964_139
    • Journal Article
      459 Regional Variability in Gliomagenesis: A Multi-Institutional Spatial Analysis
      Park M, Weiss H, Harake ES, Fang C, Maarouf N, Miller A, Hollon TC, Golfinos JG, Orringer DA. Neurosurgery, 2026 Mar 17; 72 (Supplement_1): 134 - 134. DOI:10.1227/neu.0000000000003964_459
    • Preprint
      Learning complete and explainable visual representations from itemized text supervision
      Lyu Y, Zhao C, Banerjee S, Liu S, Rao A, Kondepudi A, Lee H, Hollon TC. 2025 Dec 16; arXiv, DOI:10.48550/arxiv.2512.11141

    Featured News & Stories

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    Dose of Reality

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    University of Michigan medical student Samir Harake shares his journey training AI models in a UMMS neurology lab, allowing him to combine his passions for research and patient care.
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    Health Lab

    An AI model that can read and diagnose a brain MRI in seconds

    An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, new research finds.
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    Health Lab

    In 10 seconds, AI model detects cancerous brain tumor often missed during surgery

    Researchers have developed an AI powered model that — in 10 seconds — can determine during surgery if any part of a cancerous brain tumor that could be removed remains, a study published in Nature suggests.