This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (749) Generative Language Models Including ChatGPT (725) Postoperative Rehabilitation (65) Emerging Technologies for Rehabilitation (356) Perioperative Patient Education (30) Responsible Health AI (56)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73717, first published .
Exploring Patient Perspectives, Engagement, and Output Quality in Doctor-Supervised Use of Artificial Intelligence During Informed Consent Consultation With ChatGPT and Retrieval Augmented Generation (RAG): Quantitative Exploratory Study

Exploring Patient Perspectives, Engagement, and Output Quality in Doctor-Supervised Use of Artificial Intelligence During Informed Consent Consultation With ChatGPT and Retrieval Augmented Generation (RAG): Quantitative Exploratory Study

Exploring Patient Perspectives, Engagement, and Output Quality in Doctor-Supervised Use of Artificial Intelligence During Informed Consent Consultation With ChatGPT and Retrieval Augmented Generation (RAG): Quantitative Exploratory Study

Authors of this article:

Sascha Donner1 Author Orcid Image ;   Poroshista Knauer2 Author Orcid Image ;   Arne Kienzle2 Author Orcid Image ;   Jesse Dinneen3 Author Orcid Image ;   Joost Burger2 Author Orcid Image ;   Carsten Perka2 Author Orcid Image ;   Stefanie Donner2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

There are no citations yet available for this article according to Crossref .