Publication
Analyzing Large Language Models' Responses to Common Lumbar Spine Fusion Surgery Questions: A Comparison Between ChatGPT and Bard.
Journal Paper/Review - Jun 30, 2024
Lang Siegmund Philipp, Yoseph Ezra Tilahun, Gonzalez-Suarez Aneysis D, Kim Robert, Fatemi Parastou, Wagner Katherine E, Maldaner Nicolai, Stienen Martin N., Zygourakis Corinna Clio
Units
PubMed
Doi
Contact
Citation
Lang S, Yoseph E, Gonzalez-Suarez A, Kim R, Fatemi P, Wagner K, Maldaner N, Stienen M, Zygourakis C. Analyzing Large Language Models' Responses to Common Lumbar Spine Fusion Surgery Questions: A Comparison Between ChatGPT and Bard. Neurospine 2024; 21:633-641.
Type
Journal Paper/Review (English)
Journal
Neurospine 2024; 21
Publication Date
Jun 30, 2024
Issn Print
2586-6583
Pages
633-641
Brief description/objective
In the digital age, patients turn to online sources for lumbar spine fusion information, necessitating a careful study of large language models (LLMs) like chat generative pre-trained transformer (ChatGPT) for patient education.