Application and accuracy of artificial intelligence-derived large language models in patients with age related macular degeneration
Lorenzo Ferro Desideri, Janice Roth, Martin Zinkernagel, Rodrigo Anguita · 2023
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Description
Lorenzo Ferro Desideri and co-authors tested chatbots on eye care questions in a 2023 study. Their focus was age related macular degeneration, a common cause of sight loss that sends many patients searching online for answers. Wrong or thin replies can raise fear, so the team graded what three large language models told patients.
Questions covered both general advice and care around eye injections. Raters scored each reply as sound, partly sound, or weak. ChatGPT gave the most sound and full replies of the three tools, with the clearest edge on injection advice. The gap on general advice was small and not firm by the tests used.
Catalog record
| CREATOR | Lorenzo Ferro Desideri, Janice Roth, Martin Zinkernagel, Rodrigo Anguita |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 21 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |