Artificial Intelligence in Pharmacovigilance: Scoping Points to Consider

被引：14

作者：

Hauben, Manfred ^{[1
,2
]}

Hartford, Craig G.

机构：

[1] Pfizer Inc, Safety Sci Res, New York, NY USA

[2] NYU Langone Hlth, Dept Med, New York, NY USA

来源：

CLINICAL THERAPEUTICS | 2021年 / 43卷 / 02期

关键词：

AI; artificial intelligence; machine learning; pharmacovigilance; technology; ADVERSE DRUG-REACTIONS; AUTOMATION;

D O I：

10.1016/j.clinthera.2020.12.014

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Artificial intelligence (AI), a highly interdisciplinary science, is an increasing presence in pharmaco vigilance (PV). A better understanding of the scope of artificial intelligence in pharmacovigilance (AIPV) may be advantageous to more sharply defining, for example, which terms, methods, tasks, and data sets are suitably subsumed under the application of AIPV. Accordingly, this article explores relevant points to consider regarding defining the scope of AIPV and offers a potential working definition of the scope of AIPV. (C) 2020 Elsevier Inc.

引用

页码：372 / 379

页数：8

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