Enhancing Patient Education with AI: A Readability Analysis of AI-Generated Versus American Academy of Ophthalmology Online Patient Education Materials
Allison Kufta; Ali R. Djalilian · 2025 · Journal of Clinical Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
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
Abstract by Allison Kufta; Ali R. Djalilian, Journal of Clinical Medicine (2025) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/jcm14196968