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Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study
3
Zitationen
10
Autoren
2025
Jahr
Abstract
LLMs, particularly ChatGPT-4 and MedGo, demonstrated promising performance in home-based stroke rehabilitation education. However, discrepancies between expert and patient evaluations highlight the need for improved alignment with patient comprehension and expectations. Enhancing clinical accuracy, readability, and oversight mechanisms will be essential for future real-world integration.
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