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Comprehensibility And Readability Of Selected Artificial Intelligence Chatbots In Providing Uveitis-related Information.

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Comprehensibility And Readability Of Selected Artificial Intelligence Chatbots In Providing Uveitis-related Information.

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Comprehensibility and readability of selected artificial intelligence chatbots in providing uveitis-related

Halil İbrahim Sönmezoğlu¹, Büşra Güner Sönmezoğlu², Mustafa Hüseyin Temel³

¹Department of Ophthalmology, Hendek State Hospital, Sakarya, Turkey.

|October 25, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study compared AI chatbots for uveitis information. GPT-4 offered the most readable responses, while Grok excelled in actionable advice, highlighting AI

Keywords:

ChatGPT-4 artificial intelligence readability understandability uveitis

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Area of Science:

Ophthalmology and Artificial Intelligence
Medical Informatics
Health Communication

Background:

Uveitis is a complex eye condition requiring clear patient information.
Artificial intelligence (AI) chatbots are emerging tools for health information dissemination.
Evaluating AI chatbot performance in explaining medical conditions is crucial for patient understanding.

Purpose of the Study:

To compare the quality and comprehensibility of AI chatbot responses to frequently asked questions about uveitis.
To assess five leading AI chatbots: ChatGPT-4, Claude, Mistral, Grok, and Google PaLM.
To identify the most effective chatbot for delivering uveitis information to patients.

Main Methods:

Utilized Google Trends to identify key uveitis-related search terms.

Inputted 25 frequently searched terms into each AI chatbot.

Evaluated chatbot responses using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P), Simple Measure of Gobbledygook (SMOG) index, and Automated Readability Index (ARI).

Main Results:

GPT-4 achieved the lowest Automated Readability Index (ARI) and Simple Measure of Gobbledygook (SMOG) scores, indicating superior readability.
Mistral scored lowest in understandability (PEMAT-P), while Grok scored highest in actionability (PEMAT-P).
Most chatbots, excluding Mistral, demonstrated high intelligibility.

Conclusions:

AI chatbots show promise for improving patient understanding of complex conditions like uveitis.
GPT-4 is the most readable chatbot for uveitis information based on ARI and SMOG scores.
Further enhancements are needed to optimize AI chatbot efficacy and accessibility in healthcare.