Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes

arXiv:2609.15129 · cs.AI · Submitted 2026-09-14 · Read on arXiv

cs.AI

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: 15 pages, accepted in ADMA 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

RAG — 25× in this paper · explained in 3 episodes
Grounding — 11× in this paper · explained in 3 episodes
Accuracy — 5× in this paper · explained in 1 episode
Retrieval-Augmented Generation — 5× in this paper
Hallucination — 4× in this paper · explained in 3 episodes
Flesch-Kincaid Grade Level — 3× in this paper
Generative AI — 3× in this paper · explained in 2 episodes
Generative Model — 3× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
Prompt Engineering — 3× in this paper · explained in 4 episodes
Retrieval-Augmented Generation (RAG) — 3× in this paper · explained in 16 episodes
American Diabetes Association — 2× in this paper
Fine-Tuning — 2× in this paper · explained in 5 episodes
Core — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
FKGL and the Simple Measure of Gobbledygook — 1× in this paper
In-Context Learning — 1× in this paper · explained in 4 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Verifiability — 1× in this paper · explained in 2 episodes