Literature DB >> 33478803

Artificial Intelligence in Pharmacovigilance: Scoping Points to Consider.

Manfred Hauben1, Craig G Hartford2.   

Abstract

Artificial intelligence (AI), a highly interdisciplinary science, is an increasing presence in pharmacovigilance (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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Keywords:  AI; artificial intelligence; machine learning; pharmacovigilance; technology

Year:  2021        PMID: 33478803     DOI: 10.1016/j.clinthera.2020.12.014

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  3 in total

1.  Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance.

Authors:  Raymond Kassekert; Neal Grabowski; Denny Lorenz; Claudia Schaffer; Dieter Kempf; Promit Roy; Oeystein Kjoersvik; Griselda Saldana; Sarah ElShal
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.228

Review 2.  Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources.

Authors:  Likeng Liang; Jifa Hu; Gang Sun; Na Hong; Ge Wu; Yuejun He; Yong Li; Tianyong Hao; Li Liu; Mengchun Gong
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.228

3.  Identifying Actionability as a Key Factor for the Adoption of 'Intelligent' Systems for Drug Safety: Lessons Learned from a User-Centred Design Approach.

Authors:  George I Gavriilidis; Vlasios K Dimitriadis; Marie-Christine Jaulent; Pantelis Natsiavas
Journal:  Drug Saf       Date:  2021-10-21       Impact factor: 5.606

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.