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

Authors

Sahr Sandi-Gahun
Tareq Adnan Juratli (ORCID: https://orcid.org/0000-0003-2236-6719)
Clara Buszello (ORCID: https://orcid.org/0009-0008-8230-1064)
Elida Hasani (ORCID: https://orcid.org/0009-0006-4564-5322)
Sven Richter (ORCID: https://orcid.org/0000-0003-1648-5754)
Witold Henryk Polanski (ORCID: https://orcid.org/0000-0002-9214-150X)
Ilker Y. Eyüpoglu
Markus Georg Prem (ORCID: https://orcid.org/0009-0005-9888-1380)
Sophia Willkommen

Institutions

University Hospital Carl Gustav Carus (DE)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-09-23
DOI: https://doi.org/10.2196/77204
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Sahr Sandi-Gahun, Tareq Adnan Juratli, Clara Buszello, Elida Hasani et al.

Sep 23, 2025

JMIR Research Protocols

Artificial Intelligence in Healthcare and Education

article

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

Sahr Sandi-Gahun, Tareq Adnan Juratli, Clara Buszello, Elida Hasani, Sven Richter, Witold Henryk Polanski, Ilker Y. Eyüpoglu, Markus Georg Prem, Sophia Willkommen

September 23, 2025article en

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

University Hospital Carl Gustav Carus (DE)

Openalex Percentile: Top 81%

Artificial Intelligence in Healthcare and Education

DOI Open Access PDF OpenAlex

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