@Article{info:doi/10.2196/56165,
author="Dagli, Mert Marcel
and Oettl, Felix Conrad
and Gujral, Jaskeerat
and Malhotra, Kashish
and Ghenbot, Yohannes
and Yoon, Jang W
and Ozturk, Ali K
and Welch, William C",
title="Clinical Accuracy, Relevance, Clarity, and Emotional Sensitivity of Large Language Models to Surgical Patient Questions: Cross-Sectional Study",
journal="JMIR Form Res",
year="2024",
month="Jun",
day="7",
volume="8",
pages="e56165",
keywords="artificial intelligence; AI; natural language processing; NLP; large language model; LLM; generative AI; cross-sectional study; health information; patient education; clinical accuracy; emotional sensitivity; surgical patient; surgery; surgical",
issn="2561-326X",
doi="10.2196/56165",
url="https://formative.jmir.org/2024/1/e56165",
url="https://doi.org/10.2196/56165",
url="http://www.ncbi.nlm.nih.gov/pubmed/38848553"
}