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The Use of Artificial Intelligence in Pharmacovigilance: A Systematic Review of the Literature.

Maribel SalasJan PetracekPriyanka YalamanchiliOmar AimerDinesh KasthurilSameer DhingraToluwalope JunaidTina Bostic
Published in: Pharmaceutical medicine (2022)
Artificial intelligence allows for the processing and analysis of large amounts of data and can be applied to various disease states. The automation and machine learning models can optimize pharmacovigilance processes and provide a more efficient way to analyze information relevant to safety, although more research is needed to identify if this optimization has an impact on the quality of safety analyses. It is expected that its use will increase in the near future, particularly with its role in the prediction of side effects and ADRs.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • adverse drug
  • drug induced
  • healthcare
  • current status
  • health information
  • quality improvement
  • data analysis
  • social media