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Analyzing large language models’ responses to common lumbar spine fusion surgery questions: A comparison between ChatGPT and Bard

Year: 2024

Type: conference-paper

Abstract: Objectives: In this digital era, patients often seek information about lumbar spine fusion surgery on numerous websites of variable quality. Large Language Models (LLMs) like ChatGPT may offer transformative approaches to patient education, but these should be studied carefully before widespread use. [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/24dkou140

Authors: Lang, Siegmund, Ezra Tilahun, Yoseph, Gonzalez Suarez, Aneysis D., Kim, Robert, Fatemi, Parastou, Wagner, Katherine, Maldaner, Nicolai, Stienen, Martin N., Zygourakis, Corinna

Institutions: Stanford Medicine, Stanford University, Cleveland Clinic, University Hospital Zurich, Kantonsspital St. Gallen

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6965188759

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