Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: Prospective Randomized Controlled Trial

BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adherence[1]. Advances in artificial intelligence (AI), including voice cloning technology and large language models such as ChatGPT, offer new opportunities to deliver personalized, scalable, and interactive health education[2-3]. However, evidence regarding the comparative effectiveness of different AI-based voice cloning strategies and the reliability of automated AI evaluation tools remains limited[4-5]. OBJECTIVE: To evaluate the effectiveness of AI-assisted patient education integrating voice cloning and ChatGPT, to compare physician voice cloning with patient self-voice cloning, and to assess the reliability of ChatGPT as an automated evaluation tool for education outcomes. METHODS: A prospective, three-arm, parallel-group randomized controlled trial.A total of 180 hospitalized patients requiring standardized health education were recruited from a tertiary hospital. Inclusion criteria were: age ≥18 years, clear diagnosis requiring health education, clear consciousness, and voluntary participation with informed consent. Exclusion criteria were: severe hearing impairment, severe cognitive impairment, expected hospitalization