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人工智能在医学教育中的应用:最佳实践与未来方向。

Artificial Intelligence Use in Medical Education: Best Practices and Future Directions.

作者信息

Thompson Rasheed A M, Shah Yash B, Aguirre Francisco, Stewart Courtney, Lallas Costas D, Shah Mihir S

机构信息

Department of Urology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.

出版信息

Curr Urol Rep. 2025 May 29;26(1):45. doi: 10.1007/s11934-025-01277-1.

Abstract

PURPOSEOF REVIEW

This review examines the various ways artificial intelligence (AI) has been utilized in medical education (MedEd)and presents ideas that will ethically and effectively leverage AI in enhancing the learning experience of medical trainees.

RECENT FINDINGS

AI has improved accessibility to learning material in a manner that engages the wider population. It has utility as a reference tool and can assist academic writing by generating outlines, summaries and identifying relevant reference articles. As AI is increasingly integrated into MedEd and practice, its regulation should become a priority to prevent drawbacks to the education of trainees. By involving physicians in AI design and development, we can best preserve the integrity, quality, and clinical relevance of AI-generated content. In adopting the best practices for AI use, we can maximize its benefits while preserving the ethical standards of MedEd with the goal of improving learning outcomes.

摘要

综述目的

本综述探讨了人工智能(AI)在医学教育(MedEd)中的各种应用方式,并提出了如何在道德和有效地利用人工智能来提升医学实习生学习体验的想法。

最新发现

人工智能以吸引更广泛人群的方式提高了学习材料的可及性。它可用作参考工具,并可通过生成大纲、摘要和识别相关参考文章来辅助学术写作。随着人工智能越来越多地融入医学教育和实践,对其进行监管应成为优先事项,以防止对实习生教育产生不利影响。通过让医生参与人工智能的设计和开发,我们可以最好地保持人工智能生成内容的完整性、质量和临床相关性。在采用人工智能使用的最佳实践时,我们可以在保持医学教育道德标准的同时最大化其益处,以改善学习成果为目标。

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