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TRV-2026-0670Certified recordPeer-reviewed

The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review

With the rapid development of artificial intelligence (AI), large language models (LLMs), such as ChatGPT have shown potential in medical education, offering personalized learning experiences. However, this integration raises ethical concerns, including privacy, autonomy, and transparency. This study employed a scoping review methodology, systematically searching relevant literature published between January 2010 and August 31, 2024, across three major databases: PubMed, Embase, and Web of Science. Through rigor…

Health · The Trace — both readings · certified 2026-08-06 · v1 · article view · machine-readable

Current reading — gain

Large language models such as ChatGPT can provide personalized learning experiences when integrated into medical education.

Current reading — problem

Integrating AI and LLMs into medical education raises ethical concerns across privacy and data security, algorithmic bias, accountability, fairness, reliability, dependency, and patient autonomy.

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Truvace Impact Record TRV-2026-0670, v1: “The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review.” Truvace, 2026-08-06. /record/TRV-2026-0670 (accessed at citation time). sha256 9b779e7b322fa8b6…

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