Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification
Background:. This study assesses the effectiveness of large language models (LLMs) in simplifying complex language within orthopaedic patient education materials (PEMs) and identifies predictive factors for successful text transformation. Methods:. We transformed 48 orthopaedic PEMs using GPT-4, GPT...
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Main Authors: | Saman Andalib, BS, Sean S. Solomon, BS, Bryce G. Picton, BS, Aidin C. Spina, BS, John A. Scolaro, MD, Ariana M. Nelson, MD |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer
2025-03-01
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Series: | JBJS Open Access |
Online Access: | http://journals.lww.com/jbjsoa/fulltext/10.2106/JBJS.OA.24.00007 |
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