Chatbots versus retina specialists in answering real-world retina questions.

ABSTRACT:

Background

Chatbots powered by large language models have shown promising results when addressing medical queries, thus transforming access to medical information. Although these chatbots produce detailed and accurate responses, it is unclear how they perform when handling real, unedited patient questions, particularly in non-English languages. This study aimed to assess the readability, accuracy, and comprehensiveness of responses to retinal disease queries provided by four chatbots (ChatGPT 4.0, ConsensusGPT, Gemini, and Claude 3) compared to responses from retina specialists.

Methods

In this cross-sectional, comparative, and blinded study, twenty unedited questions about retinal diseases were randomly selected from a popular online video channel in Portuguese. The questio

SUBMITTER: Bulla MC 

PROVIDER: S-EPMC12577157 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature