Honored Guest of the Congress of Neurological Surgeons 2023 Annual Meeting: Douglas Kondziolka, MD, MSc
Notice bibliographique
Résumé
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).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,150 | 0,122 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».