人工智能证书计划对放射学居民教育的影响
Mark Finkelstein1, Kristin Ludwig2, Amita Kamath3
1Icahn School of Medicine at Mount Sinai, New York, NY (M.F., A.K., K.P.H., D.S.M.); New York University Langone Medical Center (M.F.).
Academic radiology
|June 21, 2024
概括
一个试点的人工智能 (AI) 证书计划显著提高了放射科医生在AI应用中的知识和技能. 课程的好处在各种居民背景中是一致的,这表明它在提高AI能力方面的广泛有效性.
科学领域:
- 医学教育 医学教育
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在放射学中的整合正在迅速发展.
- 放射学学员需要专门的教育才能有效地理解和应用AI.
- 评估人工智能教育计划的影响对于课程开发至关重要.
研究的目的:
- 评估一项针对放射科住院医生的试点人工智能证书计划的有效性.
- 为了确定以前的居民背景是否会影响人工智能培训的好处.
- 为了衡量居民对进一步AI专业化的兴趣.
主要方法:
- 一项前性试点研究,涉及42名放射科住院医生.
- 北美放射学会为期四个月的成像AI基础证书课程,包括在线模块和测试题.
- 进行了课程前后的评估和课程后的满意度调查.
主要成果:
- 平均评估得分从课程前的37%提高到课程后的73% (p < 0.001).
- 74%的居民认为这门课程提高了他们对放射学AI的熟悉度.
- 之前的经验或居住年没有影响学习成果.
结论:
- 试点AI证书课程有效地增强了放射科医生在AI方面的知识和技能.
- 该计划的好处适用于无论居民的背景或先前的AI暴露.
- 很大一部分居民表示有兴趣进一步寻求人工智能认证.
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