人工智能在医学教育中的应用:系统性审查
Eric Hallquist1, Ishank Gupta2, Michael Montalbano2
1Department of Family Medicine, Prevea Shawano Avenue Health Center, Green Bay, USA.
Cureus
|March 4, 2025
概括
人工智能 (AI) 在医学教育中为诸如问题生成和技能增强等任务提供了巨大的潜力. 需要进一步的研究来探索AI.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 模型越来越受欢迎,用于自主决策和复杂交互.
- 了解人工智能的能力和局限性对于有效地融入各种领域至关重要.
- 人工智能在医疗保健和医学教育中的应用需要系统地探索.
研究的目的:
- 系统地审查医学教育中AI应用的文献.
- 确定人工智能在培训医疗保健专业人员中的当前用途和潜在的未来应用.
- 强调教师和学生对人工智能素养的重要性.
主要方法:
- 对PubMed数据库的系统文献审查,截至2024年6月6日.
- 遵守系统审查和元分析 (PRISMA) 准则的首选报告项目.
- 专注于利用人工智能在医学教育中的研究.
主要成果:
- 人工智能已经被用来生成医学考试问题和临床脚本.
- 人工智能可以提高诊断和临床技能,作为学习辅助工具,并自动执行诸如居住申请选等任务.
- 识别出的人工智能应用程序在医疗教育的各个层面都显示出希望.
结论:
- 人工智能在医学教育的各个领域都显示出潜力.
- 在实施之前,教育工作者和学生必须了解AI的原则,能力和局限性.
- 进一步的研究对于探索更多的人工智能应用和解决医学培训中的知识差距至关重要.
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