加药
计算机科学
人工智能
机器学习
精密医学
药品
治疗药物监测
重症监护医学
医学物理学
医学
药理学
病理
作者
Ethan A. Poweleit,Alexander A. Vinks,Tomoyuki Mizuno
标识
DOI:10.1097/ftd.0000000000001078
摘要
Therapeutic drug monitoring (TDM) and model-informed precision dosing (MIPD) have greatly benefitted from computational and mathematical advances over the past 60 years. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) approaches for supporting clinical research and support is increasing. However, AI and ML applications for precision dosing have been evaluated only recently. Given the capability of ML to handle multidimensional data, such as from electronic health records, opportunities for AI and ML applications to facilitate TDM and MIPD may be advantageous.
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