首页|人工智能在超声专科医师规范化培训中的作用

人工智能在超声专科医师规范化培训中的作用

扫码查看
专科医师规范化培训是在住院医师培训的基础上,培养高水平专科医师的重要手段.超声医学涉及全身各个系统,课程复杂,超声新技术发展迅速,而传统培养模式下超声人才培养周期长,不利于超声医生临床业务水平和科研能力的深入发展,迫切需要新理论、新方法引入超声专科医师规范化培训.人工智能(artificial intelligence,AI)的快速发展对医学教育产生了深刻影响,为人才的个性化教育提供了有效的途径.文章从超声专科医师规范化培训的现状及存在的问题和意义,以及AI在超声专科医师规范化培训中的作用和面临的机遇与挑战等几个方面,探讨AI如何应用于超声专科医师规范化培训,以期为建立全面、系统的基础理论和专业技能培训方案提供新的方法,为完善超声高质量专业人才的培养提供依据.
The Role of Artificial Intelligence in the Standardized Training of Ultrasound Specialists
The standardized training of specialized doctors is an important means to train high-level specialists based on the training of resident doctors.Ultrasonic medicine involves various systems of the whole body,with complex courses and rapid development of new ultrasonic technologies.However,it is less helpful in developing clinical professional skills and scientific research ability of ultrasound doctors due to the long duration under the traditional training mode,and it is crucial to introduce new theories and methods into the standardized training of ultrasound specialists.The rapid development of artificial intelligence(AI)has generated a profound impact on medical education and provided an effective way for personalized education.This paper will elaborate from the current situation,existing problems and significance of standardized training of ultrasound specialists,as well as the role of AI in standardized training of ultrasound specialists and the opportunities and challenges.It is also tried to discuss how AI can be applied to standardized training of ultrasound specialists,and expected to provide a new approach to establish the comprehensive and systematic theory and professional skills for standardized training,which may aid improving the training of high quality ultrasound specialists.

artificial intelligenceultrasonic medicinemedical specialiststandardized trainingmedical educationpractical skillseducational model

贾彩霞、吴蓉、胡浩清、金利芳、张璐妮

展开 >

上海市第一人民医院超声科,上海 200080

上海市嘉定区中医医院功能科,上海 201899

人工智能 超声医学 专科医师 规范化培训 医学教育 实践技能 教育模式

国家自然科学基金国家自然科学基金

8207193182202176

2024

中国继续医学教育

中国继续医学教育

影响因子:2.564
ISSN:1674-9308
年,卷(期):2024.16(10)
  • 18