Integrating large language models into medical undergraduate laboratory course to enhance bioethical competence: a quasi-experimental study

This study suggested that recent LLMs, particularly KIMI and DeepSeek, may support integrating bioethics into undergraduate medical laboratory courses in a university in China. By assisting students in accessing information, reflecting on ethical issues, and navigating practical challenges, these tools can facilitate learning and foster ethical awareness, competent future physicians. These findings, as an initial exploration and context-specific, indicate that LLMs may support bioethics learning in undergraduate medical laboratory courses and help foster ethically aware, competent future physicians.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-02-05
DOI
https://doi.org/10.3389/fmed.2025.1745975
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating large language models into medical undergraduate laboratory course to enhance bioethical competence: a quasi-experimental study

Yue Wang
Frontiers in Medicine
Artificial Intelligence in Healthcare and Education
article

Integrating large language models into medical undergraduate laboratory course to enhance bioethical competence: a quasi-experimental study

Yue Wang
article en

Abstract

This study suggested that recent LLMs, particularly KIMI and DeepSeek, may support integrating bioethics into undergraduate medical laboratory courses in a university in China. By assisting students in accessing information, reflecting on ethical issues, and navigating practical challenges, these tools can facilitate learning and foster ethical awareness, competent future physicians. These findings, as an initial exploration and context-specific, indicate that LLMs may support bioethics learning in undergraduate medical laboratory courses and help foster ethically aware, competent future physicians.

Frontiers in MedicineVol. 12
Fujian Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Fujian Medical University, Division of Graduate Education
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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