现代化病理学和瘤学教育:将基因组学,人工智能和临床相关性纳入医学培训中
Ana Carolina de Jesus Paniza1, Fabio Ynoe Moraes2
1Dasa Genômica, São Paulo, Brazil.
Journal of the National Cancer Institute
|December 14, 2025
概括
病理学和瘤学教育需要改革,以整合临床推理和数据素养. 现代化基因组学和人工智能 (AI) 的课程是迫切需要准备医生准确医学.
科学领域:
- 医学教育 医学教育
- 在瘤学瘤学.
- 病理学 病理学 病理学
- 基因组学就是基因组学.
- 人工智能的人工智能
背景情况:
- 当前的病理学和瘤学教育面临着与学习者对相关性和临床应用的期望的教育 misalignment.
- 实习生需要进行结构化培训,以解释下一代测序,生物标志物概况和分子瘤董事会参与.
- 数字病理学和人工智能的兴起需要对数字工具的能力和对算法输出的批判性评估.
研究的目的:
- 倡导从内容传递到病理学和瘤学教育中的概念整合的教学转变.
- 强调未来医生需要在基因组学,人工智能 (AI) 和数据素养方面的结构化培训.
- 强调课程现代化的紧迫性,以为准确医学准备学员.
主要方法:
- 倡导课程重新设计,整合病理学,瘤学,基因组学和决策.
- 建议扩大信息学和人工智能能力的居住时间.
- 建议教师发展,采用数字平台和基于能力的评估.
主要成果:
- 目前的教育框架不足以为医生准备精准医学,缺乏强制性基因组学或人工智能素养.
- 实施改革需要机构的承诺,教师的发展,以及与计算机科学和生物信息学专家的合作.
- 实施障碍,如教师的时间和资源限制,可以通过试点计划和战略伙伴关系来减轻.
结论:
- 病理学和瘤学课程的紧急现代化对于为未来的医生提供必要的基因组学和人工智能技能至关重要.
- 由于未能改革课程,可能会使医生没有为准确医学的需求做好准备.
- 整合数字病理学,人工智能和数据素养对于推进癌症治疗和研究至关重要.
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