Artificial intelligence: Training the trainer

被引:3
|
作者
Kaestner, Lars [1 ,2 ]
机构
[1] Saarland Univ, Theoret Med & Biosci, D-66424 Homburg, Germany
[2] Saarland Univ, Expt Phys, Saarbrucken, Germany
基金
欧盟地平线“2020”;
关键词
D O I
10.1111/bjh.18358
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Including artificial intelligence in haematological education is compulsory but should not be limited to students. Experienced haematologist and decision-makers in the clinical environment have at least similar needs. This is because of the tremendous potential, opportunities and benefits the timely inclusion of artificial intelligence offers in diagnosis, prediction and personalised therapy. Commentary on: Chai et al. Integrating artificial intelligence into haematology training and practice: opportunities, threats and proposed solutions. Br J Hematol 2022. https://doi.org/10.1111/bjh.18343.
引用
收藏
页码:805 / 806
页数:2
相关论文
共 50 条