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ABSTRACT: Introduction
Despite direct access to clinicians through the electronic health record, patients are increasingly turning to the internet for information related to their health, especially with sensitive urologic conditions such as Peyronie's disease (PD). Large language model (LLM) chatbots are a form of artificial intelligence that rely on user prompts to mimic conversation, and they have shown remarkable capabilities. The conversational nature of these chatbots has the potential to answer patient questions related to PD; however, the accuracy, comprehensiveness, and readability of these LLMs related to PD remain unknown.Aims
To assess the quality and readability of information generated from 4 LLMs with searches related to PD; to see if users could improve responses; and
SUBMITTER: Warren CJ
PROVIDER: S-EPMC11384107 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature