Human-Delivered Conversation Versus AI Chatbot Conversation in Increasing Heart Attack Knowledge in Women in the United States: Quasi-Experimental Studies.

ABSTRACT:

Background

Artificial intelligence (AI) chatbots, driven by advances in natural language processing, can analyze and generate human language through computational linguistics and machine learning. Despite the rapid development of large language models, little investigation has been conducted to assess whether AI chatbot-delivered educational conversations can achieve a similar level of efficacy as human-delivered conversations.

Objective

This study aims to evaluate and explore the potential efficacy of human-delivered conversations versus AI chatbot conversations in increasing women's knowledge and awareness of symptoms and response to a heart attack in the United States.

Methods

This is a secondary analysis of 2 datasets collected from the AI Chatbot Development Proj

SUBMITTER: Kim DD 

PROVIDER: S-EPMC12538107 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature