Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification
6
Zitationen
6
Autoren
2025
Jahr
Abstract
This study provides critical insights into the ability of LLMs to simplify complex orthopaedic PEMs, enhancing their readability without compromising informational integrity. By identifying predictive factors for successful text transformation, this research supports the application of AI in improving health literacy, potentially leading to better patient comprehension and outcomes in orthopaedic care.
Ähnliche Arbeiten
BLEU
2001 · 21.010 Zit.
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
2023 · 14.124 Zit.
Enriching Word Vectors with Subword Information
2017 · 9.618 Zit.
A unified architecture for natural language processing
2008 · 5.178 Zit.
A new readability yardstick.
1948 · 5.081 Zit.