一个人工智能支持的医药化学项目:将人工智能纳入药房课程的一个例子
Megan L Culp1, Sara Mahmoud2, Daniel Liu1
1University of Southern California, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Department of Pharmacology & Pharmaceutical Sciences, Los Angeles, CA, USA.
American journal of pharmaceutical education
|April 4, 2024
概括
人工智能 (AI) 在药房教育中的整合成功地提高了学生对药物开发和药房实践中的AI工具的熟悉度. 这种方法提高了对药物化学的兴趣,但没有影响学习成果,大多数学生都主张在课程中增加人工智能.
科学领域:
- 药用化学 教育 医学化学 教育
- 人工智能在药房中的应用
- 药物开发 药物开发
背景情况:
- 人工智能 (AI) 正在改变制药研究和患者护理.
- 将人工智能纳入药房课程对于培养熟练劳动力的发展至关重要.
- 药学学生需要熟悉人工智能,以适应现代实践和药物发现.
研究的目的:
- 将人工智能 (AI) 整合到药学学生的药物化学课程中.
- 提高学生对AI应用在药房实践和药物开发中的理解.
- 评估人工智能对学生医药化学兴趣和学习成果的影响.
主要方法:
- 人工智能原理是在一年级药房医学化学课程中引入的.
- 学生使用KNIME软件分析药物结构-活性关系并做出预测.
- 在活动之前和之后,调查了学生对药房人工智能的熟悉程度.
主要成果:
- 学生对药房人工智能的熟悉度显著增加,从25.3%增加到74.5%.
- 超过60%的学生表示对药用化学内容的兴趣增加.
- 近70%的学生同意人工智能教育应该扩展到药学博士课程中.
结论:
- 人工智能在药学教育中的整合是有效的和可转移的.
- 这种方法提高了学生对药房内人工智能应用的兴趣.
- 保持学习目标,同时成功地纳入AI原则.
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