Generative Artificial Intelligence–Driven Voice Assistance for Patient Education in Ophthalmology

This qualitative study aimed to evaluate the usability, perceived effectiveness, and acceptability of a voice-based generative artificial intelligence assistant for educating patients about intravitreal therapy for wet age-related macular degeneration and supporting treatment understanding and adherence.

Corresponding Author: Allon Jacobs, MS, F. Hoffmann-La Roche, Grenzacherstrasse 124, Building 001/OG13, CH-4070, Basel 94080, Switzerland (jacobs.allon@gene.com).

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