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

RCTs - Protocols/Proposals (eHealth) (1305) Email Communication, Web-Based Communication, Secure Messaging (229) Consumer & Patient Education and Shared-Decision Making (1240) Clinical Information and Decision Making (3509) Language Accessibility, Equity, and Translation Technologies for Medicine and Public Health (52) Generative Language Models Including ChatGPT (1396)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77204, first published .
Two healthcare professionals, a man and a woman, in white coats holding tablets in a hospital hallway.

Layperson-Friendly AI Translation of Medical Documents to Improve Doctor–Patient Communication: Protocols for the AI-INFOCARE and AI-MEDTALK Randomized Controlled Trials

Layperson-Friendly AI Translation of Medical Documents to Improve Doctor–Patient Communication: Protocols for the AI-INFOCARE and AI-MEDTALK Randomized Controlled Trials

Authors of this article:

Elida Hasani1 Author Orcid Image ;   Sven Richter1 Author Orcid Image ;   Tareq Adnan Juratli1 Author Orcid Image ;   Clara Helene Buszello1 Author Orcid Image ;   Markus Georg Prem1 Author Orcid Image ;   Sophia Willkommen1 Author Orcid Image ;   Sahr Sandi-Gahun1 ;   Ilker Yasin Eyüpoglu1 Author Orcid Image ;   Witold Henryk Polanski1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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