Skip to main content
Hyeondeok Choi on Muck Rack

Hyeondeok Choi

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Hyeondeok

Contact Hyeondeok, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

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

|
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).
Open in Who Shared Issue with article?
See all 1 articles