Honored Guest of the Congress of Neurological Surgeons 2023 Annual Meeting: Douglas Kondziolka, MD, MSc
Bibliographic record
Abstract
Douglas Kondziolka, MD, MSc Professor of Neurosurgery and Radiation Oncology, NYU Langone Health System, New York University Dr Douglas Kondziolka received his medical degree from the University of Toronto and graduated from the Toronto neurosurgery residency program in 1991. From 1989 to 1991 at the University of Pittsburgh, he completed a master of science program in the Department of Behavioral Neuroscience and a fellowship in stereotactic surgery and radiosurgery. His thesis focused on brain radiobiology. He joined the faculty of the Department of Neurological Surgery at the University of Pittsburgh in January 1992 and later was named Chief of Stereotactic and Functional Neurosurgery and Vice Chair for Education. At the McGowan Institute for Regenerative Medicine, he served as principal investigator of the first 2 neurotransplantation trials for the care of stroke and completed a third to evaluate bone marrow-derived neuroprogenitor cell line implants for stroke repair. A fourth trial was completed in 2018. He completed 2 clinical trials in neuromodulation for major depression as Director of the UPMC Center for Brain Function and Behavior. In November 2012, Dr Kondziolka joined the neurosurgery faculty at New York University as Professor and Vice Chair for Clinical Research. He launched the first global registry platform for neurosurgery that focused initially on the broad array of radiosurgical indications. Current research is on metabolic and vascular effects of brain tumor radiosurgery using novel neuroimaging techniques, brain tumor natural history studies, and clinical registry analytics. In 2022, he and colleague Dr Eric Oermann launched the world's largest open-source brain tumor imaging data set with longitudinal data, NYUMets. Dr Kondziolka has published 667 articles in refereed journals, 275 book chapters and/or invited publications, and has edited 8 books. He has completed 4 randomized controlled trials. He is a three-time recipient of the Stephen Mahaley Award for brain tumor clinical research from the Joint Section on Tumors of the AANS/CNS. He received the Lars Leksell Award from the World Federation of Neurosurgical Societies. In 2004, he was honored as the Penfield Lecturer of the Canadian Neurosurgical Society. In 2006, he received the Robert Florin Award of the American Association of Neurological Surgeons for socioeconomic research and in 2007, the AANS Integra Foundation Award. In 2007, he received the Jacob Fabrikant Award from the International Stereotactic Radiosurgery Society. In 2014, he received the Bernard Sanberg Award from the American Society for Neural Therapy and Repair. In 2022, he was an Honored Guest of the North American Skull Base Society and in 2023, Honored Guest of the Congress of Neurological Surgeons, arguably the highest honor in the specialty. He is a Past President of the American Society for Stereotactic and Functional Neurosurgery and the International Stereotactic Radiosurgery Society. In 2006–2007, he served as President of the Congress of Neurological Surgeons. He served as neurosurgeon for the Pittsburgh Penguins of the National Hockey League from 2002 to 2012. He served as cochair of the editorial board of the Journal of Neurosurgery (2008-2013) and Associate Editor (2013-2021). He was a Director of the American Board of Neurological Surgery from 2014 to 2020 and Chair of the Oral Examination. He was appointed to the Residency Review Committee of the ACGME in neurosurgery (2020). He is Past President of the American Academy of Neurological Surgery. He is the Editor-in-Chief of Neurosurgery Publications(Neurosurgery, Operative Neurosurgery and Neurosurgery Practice). He has been a visiting professor at many of the top institutions in the United States and Canada and has lectured extensively across the world. His h-index is 108. Dr Kondziolka's CV is available as Supplemental Digital Content (https://links.lww.com/NEU/E68).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.150 | 0.122 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".