在生物医学数据科学中,可复制人工智能的挑战
1The Laboratory of Data Science and Artificial Intelligence Innovation, Department of Computer Science, School of Engineering and Computer Science, Baylor University, Waco, TX, 76798, USA. Henry_Han@baylor.edu.
BMC medical genomics
|January 10, 2025
概括
生物医学数据科学的人工智能 (AI) 的可复制性受到数据,模型和学习复杂性的挑战. 实现人工智能可复制性需要平衡标准与研究人员的个人目标.
科学领域:
- 生物医学数据科学 生物医学数据科学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在迅速改变生物医学数据科学.
- 人工智能模型在这个领域的可复制性是一个关键的,但不清楚的问题.
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