医学教育中的人工智能:改变学习和实践
Aadhitya Sriram1, Kalpana Ramachandran2, Sriram Krishnamoorthy3
1Department of Computer Science, College of Engineering, Guindy Anna University, Chennai, IND.
Cureus
|April 21, 2025
概括
人工智能 (AI) 正在通过个性化学习和虚拟模拟改变医学教育. 解决伦理问题对于负责任地整合和未来优化医疗培训至关重要.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 数字学习数字学习
背景情况:
- 传统医学教育面临着信息过载和质量不一致等挑战.
- 人工智能 (AI) 提供了可适应的,数据驱动的解决方案,以提高培训效率.
- 人工智能整合旨在克服当前医学教学方法的局限性.
研究的目的:
- 探索医疗教育中的AI应用,包括个性化学习,模拟和课程开发.
- 分析人工智能对医学培训效率和参与度的影响.
- 检查AI在医学教育中的挑战和伦理考虑.
主要方法:
- 进行了全面的文献审查.
- 分析人工智能驱动的进步,如自适应式学习平台和虚拟模拟.
- 审查最近的技术发展及其对医疗培训的影响.
主要成果:
- 人工智能通过个性化学习体验和提高知识保留来增强医学教育.
- 由人工智能驱动的虚拟模拟提供了沉浸式,安全的实践培训.
- 自动评估和人工智能聊天机器人提高了评估效率,并支持自主学习.
结论:
- 人工智能通过提高效率,互动性和个性化来彻底改变医学教育.
- 负责任的AI实施需要解决诸如数据隐私和算法偏见之类的伦理问题.
- 未来的研究应该专注于人工智能公平性,公平的访问和与沉浸式技术的整合.
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