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Soy Chang

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Improving non-expert performance in musculoskeletal MRI protocoling through a large language model - Scientific Reports

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By Sungwon Lee, Keum San Chun, Seungeun Thera Lee, Hyemin Park, Tuan Le, Pritam Mukherjee, Jungwoo Lee, So-Yeon Lee, Joon-Yong Jung, Hyeondeok Choi, Soy Chang
| Nature Verified
Abstract MRI protocoling, the process of selecting appropriate sequences, is especially complex in musculoskeletal (MSK) cases. This study evaluates whether a large language model (LLM) can effectively assist non-experts in MRI protocoling. We collected two retrospective datasets of musculoskeletal (MSK) MRI orders: (1) a prompt-development dataset (Jan–Dec 2023; 538 cases) and (2) a testing dataset (Jan–Jun 2024; 107 cases).
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