人工智能辅助的专注心脏超声波培训:在本科医学学生中进行的一项调查
Hatem Soliman-Aboumarie1,2, Jolien Geers3, Dominic Lowcock1
1Department of Anaesthetics and Critical Care, Harefield Hospital, Royal Brompton and Harefield Hospitals, London, UK.
Ultrasound (Leeds, England)
|November 18, 2024
概括
人工智能 (AI) 辅助的专注心脏超声波 (FoCUS) 培训显著提高了医学学生的信心和知识. 这种人工智能驱动的方法提高了超声波技能,并支持未来医生的课程整合.
科学领域:
- 医学教育 医学教育
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
背景情况:
- 聚焦心脏超声波 (FoCUS) 是跨专业医生的关键技能.
- 对医学学生来说,在FOCUS上进行适当的培训是必不可少的.
- 整合新的教学方法对于有效的医学教育至关重要.
研究的目的:
- 评估人工智能辅助的交互式FOCUS教学课程的影响.
- 评估本科医学学生对心脏超声波的信心和知识的变化.
- 为了确定AI在FOCUS培训中的有效性.
主要方法:
- 在全国会议上进行了一次人工智能辅助的交互式FOCUS研讨会.
- 79名医学本科生参加了培训课程.
- 会议前后的问卷采用利克尔特比例表来评估知识和信心.
主要成果:
- 在所有六个评估的超声波技能领域 (p < 0.001) 观察到信心显著增加.
- 在获得基本的心脏视图方面,人们注意到了最大的改善.
- 学生表示高度满意,并支持将超声波培训纳入医学课程.
结论:
- 人工智能辅助的交互式FOCUS培训是提高医学学生超声波技能和信心的有效方法.
- 该研究强调了人工智能作为医学培训中的强大教育工具的潜力.
- 建议将这些人工智能驱动的超声波课程纳入医学课程.
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