@inproceedings{621b18f6991b498f8dccdc31667ec1cd,
title = "Impact of an Evidence-Based Large Language Model (LLM) Diagnostic Decision Support System: A Randomised Controlled Trial",
abstract = "Generative artificial intelligence (AI) influences clinical decision-making in healthcare by analyzing medical data and proposing personalized treatment options based on patient records. However, generative AI limited due to its inability to provide accurate evidence. Therefore, this study aims that the influence of AI-generated diagnostic suggestions on emergency healthcare providers' diagnostic patterns and decision-making, and evaluates the correlation between clinicians' adoption and diagnosis accuracy.",
keywords = "Clinical Decision Support System (CDSS), Emergency Medicine, Large Language Model (LLM)",
author = "Sangah Ahn and Joongheum Park and Sujeong Hur and Jung, \{Kwang Yul\} and Lee, \{Jae Ho\} and Choi, \{Sae Won\} and Son, \{Meong Hi\} and Kang, \{Min Jeoung\} and Kim, \{Youn Jung\} and Hanna Park and Cha, \{Won Chul\} and Junsang Yoo",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 20th World Congress on Medical and Health Informatics, MEDINFO 2025 ; Conference date: 09-08-2025 Through 13-08-2025",
year = "2025",
month = aug,
day = "7",
doi = "10.3233/SHTI250844",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "273--277",
editor = "Househ, \{Mowafa S.\} and Househ, \{Mowafa S.\} and Tariq, \{Zain Ul Abideen\} and Mahmood Al-Zubaidi and Uzair Shah and Elaine Huesing",
booktitle = "MEDINFO 2025 - Healthcare Smart x Medicine Deep",
}