Mapping the Reliability-Readability Gap in the Education of Patients With Age-Related Macular Degeneration Across 6 Large Language Models: Comparative Evaluation Study
Zhili Lu, Haixing Cao, Cong Ma, Jin Zheng, Xiang Ma, Andrew Coristine · 2026
Read Mapping the Reliability-Readability Gap in the Education of Patients With Age-Related Macular Degeneration Across 6 Large Language Models: Comparative Evaluation Study by Zhili Lu, Haixing Cao, Cong Ma, Jin Zheng, Xiang Ma, Andrew Coristine (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13411430.txt.
Description
Zhili Lu and colleagues grade in 2026 answers from six large language models to patient questions about age-related macular degeneration, a leading cause of vision loss in older adults. Patients increasingly ask chatbots about their eyes, yet accuracy, transparency, and reading level were untested for this condition. Thirty real-world questions were put to each model.
Two senior eye doctors, blinded to which model wrote what, scored all 180 answers with four standard quality tools. Agreement between the raters ran strong to near-perfect. No model met the reading benchmark discussed in the study, and gaps between trustworthy content and readable content are the paper's theme. Patients may get sound facts written well above their reading level.
Catalog record
| CREATOR | Zhili Lu, Haixing Cao, Cong Ma, Jin Zheng, Xiang Ma, Andrew Coristine |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 60 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |