Integrating Retrieval-Augmented Generation with Large Language Models in Nephrology: Advancing Practical Applications
Jing Miao, Charat Thongprayoon, Supawadee Suppadungsuk et al.
2024 · Medicina · 142 citations
The integration of large language models (LLMs) into healthcare, particularly in nephrology, represents a significant advancement in applying advanced technology to patient care, medical research, and education. These advanced models have progressed from simple text processors to tools capable of deep language understanding, offering innovative ways to handle health-related data, thus improving medical practice efficiency and effectiveness. A significant challenge in medical applications of LLMs is their imperfect accuracy and/or tendency to produce hallucinations-outputs that are factually i…
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