Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey

ChatGPT was already widely used among medical students, especially in exam preparation and the early stages of training. Students valued its efficiency and support for understanding complex material, but its long-term influence on learning is limited. Concerns about reliability, source transparency, and data privacy remain, and AI skills played a key role in shaping usage. These findings underscore the need to integrate structured, practice-oriented AI education into medical training to support critical, informed, and ethical use of large language models.

Authors

Institutions

Publication Details

Journal
JMIR Formative Research
Published
2025-10-22
DOI
https://doi.org/10.2196/81484
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
2.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey

Sebastian Kühn, Nadine Schlicker, Martin C. Hirsch, Johannes Knitza et al.
4 citations
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
2.62
article

Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey

Sebastian Kühn, Nadine Schlicker, Martin C. Hirsch, Johannes Knitza, Andreas Mayr, Felix Muehlensiepen, Fabian Lechner, Anna Fußhöller
article en
4 citations

Abstract

ChatGPT was already widely used among medical students, especially in exam preparation and the early stages of training. Students valued its efficiency and support for understanding complex material, but its long-term influence on learning is limited. Concerns about reliability, source transparency, and data privacy remain, and AI skills played a key role in shaping usage. These findings underscore the need to integrate structured, practice-oriented AI education into medical training to support critical, informed, and ethical use of large language models.

JMIR Formative ResearchVol. 9
Philipps University of Marburg (DE), Deutsches Herzzentrum der Charité (DE), Medizinische Hochschule Brandenburg Theodor Fontane (DE), Charité - Universitätsmedizin Berlin (DE)
Philipps-Universität Marburg
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
2.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.