人工智能驱动儿科医学教育全方面智能化转型研究
DOI:
https://doi.org/10.70693/cjst.v1i4.1675Keywords:
人工智能；儿科医学教育；智能化；虚拟患者；疾病知识图谱；临床决策树Abstract
因儿童生理与病理特征的特殊性，儿科医学教育长期面临三大核心挑战：临床操作风险居高不下，儿童机体脆弱性增加了穿刺、急救等操作的难度与失误后果；疾病表现具有强异质性，同病异症、异病同症现象普遍，加大诊断教学复杂度；医患沟通涉及患儿、家长等多方，情绪疏导与信息传递的复杂性远超成人科室。随着人工智能（AI）技术的飞速发展，为破解这些难题提供了创新路径。本文通过系统检索与梳理国内外相关文献，构建AI驱动儿科医学教育智能化的理论框架，剖析虚拟仿真训练、智能诊断辅助、医患沟通模拟等技术应用路径，探讨在实践培养中如何借助AI提升医学生的临床操作熟练度、疾病鉴别能力与人文沟通素养，进而展望未来发展趋势，旨在挖掘AI提升儿科医学生综合能力的潜在价值，为培养掌握先进技术、兼具人文温度，适应新时代需求的儿科医生提供理论与实践参考。
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