The Potential of Artificial Intelligence and Machine Learning in Pharmacovigilance: An Update

The integration of artificial intelligence (AI) and machine learning (ML) into pharmacovigilance (PV) marks a transformative step towards enhancing drug safety and patient outcomes. With their unparalleled ability to analyze vast and complex datasets, AI/ML technologies offer unprecedented opportunities to revolutionize adverse drug event (ADE) monitoring, signal detection, and causality assessment. This editorial explores the state-of-the-art applications, key challenges, and actionable strategies to unlock the full potential of AI in PV.

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Publication Details

Journal
GenoMed Connect
Published
2024-12-25
DOI
https://doi.org/10.69709/genomc.2024.176699
Citations
4
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
1.40
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article

The Potential of Artificial Intelligence and Machine Learning in Pharmacovigilance: An Update

Osama A. Badary
4 citations
GenoMed Connect
Pharmacovigilance and Adverse Drug Reactions
1.40
article

The Potential of Artificial Intelligence and Machine Learning in Pharmacovigilance: An Update

Osama A. Badary
article en
4 citations

Abstract

The integration of artificial intelligence (AI) and machine learning (ML) into pharmacovigilance (PV) marks a transformative step towards enhancing drug safety and patient outcomes. With their unparalleled ability to analyze vast and complex datasets, AI/ML technologies offer unprecedented opportunities to revolutionize adverse drug event (ADE) monitoring, signal detection, and causality assessment. This editorial explores the state-of-the-art applications, key challenges, and actionable strategies to unlock the full potential of AI in PV.

GenoMed ConnectVol. 2(1)
Ain Shams University (EG)
Good health and well-being
Openalex Percentile: Top 19%
Pharmacovigilance and Adverse Drug Reactions
1.40
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