Impact of an Evidence-Based Large Language Model (LLM) Diagnostic Decision Support System: A Randomised Controlled Trial.

Sangah Ahn¹, Joongheum Park^2,3, Sujeong Hur^1,3, Kwang Yul Jung⁴, Jae-Ho Lee⁵, Sae Won Choi⁶, Meong Hi Son⁷, Min-Jeoung Kang⁸, Youn-Jung Kim⁵, Hanna Park⁵, Won Chul Cha^1,7, Junsang Yoo¹

¹SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.

²Beth Israel Deaconess Medical Center, Boston, MA, USA.

³AVOMD, Brooklyn, NY, USA.

⁴Chung-ang University Gwangmyeong Hospital, Gwangmyeong, Gyung-gi, Republic of Korea.

⁵Asan Medical Center, Seoul, Republic of Korea.

⁶Seoul National University Hospital, Seoul, Republic of Korea.

⁷Samsung Medical Center, Seoul, Republic of Korea.

⁸Bringham and Women's Hospital, Boston, MA, USA.

PubMed DOI

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…

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