"大脑+X":为人工智能时代提供跨学科的健康专业教育
Xiao Min Zhang1, Boxing Li1, Lianyan Huang1
1Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Medical teacher
|September 22, 2025
概括
人工智能 (AI) 正在改变医疗保健教育. 综合神经科学和人工智能的跨学科课程显著提高了学生对人工智能驱动的医疗保健的技能,提高了解决问题的能力和研究适用性.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 神经科学是一个神经科学.
背景情况:
- 医疗保健专业的教育需要适应人工智能 (AI) 的整合.
- 传统的课程缺乏足够的AI相关能力和跨学科知识.
- "大脑+X"课程通过将神经科学与人工智能融合来解决这个差距.
研究的目的:
- 评估跨学科"Brain+X"课程在为医疗专业的学生准备人工智能集成方面的有效性.
- 评估学生理论理解和实际AI应用技能的改进.
- 培养批判性思维和跨学科解决问题的能力.
主要方法:
- 实施跨学科的"Brain+X"课程,整合神经科学和人工智能.
- 在人工智能技术和应用方面进行实践培训.
- 课程前后的评估和参与者调查,以评估技能发展和知识获取.
主要成果:
- 96%的学生发现课程直接适用于他们的研究.
- 91.9%的人表现出对跨学科挑战的增强能力.
- 观察到数据分析,科学概念化和神经科学方法学掌握方面的显著改进.
结论:
- 跨学科的人工智能教育对卫生专业至关重要.
- "大脑+X"模式有效地提高了学生的AI能力和跨学科解决问题的技能.
- 这种方法为新一代医疗保健专业人员为人工智能驱动的医疗生态系统做准备.
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