Enhancing Patient Education with AI: A Readability Analysis of AI-Generated Versus American Academy of Ophthalmology Online Patient Education Materials.

ABSTRACT: Background/Objectives: Patient education materials (PEMs) in ophthalmology often exceed recommended readability levels, limiting accessibility for many patients. While organizations like the AAO provide relatively easy-to-read resources, topics remain limited, and other associations' PEMs are too complex. AI chatbots could help clinicians create more comprehensive, accessible PEMs to improve patient understanding. This study aims to compare the readability of patient education materials (PEMs) written by the American Academy of Ophthalmology (AAO) with those generated by large language models (LLMs), including ChatGPT-4o, Microsoft Copilot, and Meta-Llama-3.1-70B-Instruct. Methods: LLMs were prompted to generate PEMs for 15 common diagnoses relating to cornea and anterior cha

SUBMITTER: Kufta AY 

PROVIDER: S-EPMC12524648 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature