Evaluating Large Language Models for Decision Support in Minimally Invasive Spine Surgery Triage and Procedural Categories.

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Bibliographic Details
Title: Evaluating Large Language Models for Decision Support in Minimally Invasive Spine Surgery Triage and Procedural Categories.
Authors: Kartal A; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA., Manalil NF; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA., Cheng CD; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA., Chung LK; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA., Gebhard H; Department of Neurosurgery, Medical University Lausitz - Carl Thiem, Cottbus, Germany., Greenberg M; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA., Härtl R; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA., Elsayed GA; Department of Neurological Surgery, Och Spine at NewYork-Presbyterian Hospital, New York, NY, USA.
Source: Global spine journal [Global Spine J] 2026 Jul; Vol. 16 (6), pp. 2611-2621. Date of Electronic Publication: 2025 Dec 22.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 101596156 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2192-5682 (Print) Linking ISSN: 21925682 NLM ISO Abbreviation: Global Spine J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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