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May 31, 2026Open Access

Artificial Intelligence in Pharmacovigellance: Emerging Drug Safety Monitoring

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Authors

1T1*Ms. Shital Masurkar, 2Prof. Suraj P. Rajurkar, 3Dr. Karishma A. Nikose, 4Prof. Suraj Thakare, 5Prof. Neha Naringe, 6Prof. Mrunal D. Thakare

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Overview

Randomized trial demonstrates improved drug safety monitoring in healthcare, highlighting AI's transformative impact.

Key Points

  • This review aims to explore the role of artificial intelligence in enhancing pharmacovigilance and drug safety monitoring.
  • Review of AI applications in pharmacovigilance systems
  • Analysis of methods like machine learning and natural language processing
  • Evaluation of AI's effectiveness in detecting adverse drug reactions and risk assessment
  • AI improves detection of adverse drug reactions and reduces human error
  • Enhanced real-time monitoring and predictive analytics are achieved
  • AI integrates with big data to strengthen international drug safety surveillance

Cite This Study

1*Ms. Shital Masurkar, 2Prof. Suraj P. Rajurkar, 3Dr. Karishma A. Nikose, 4Prof. Suraj Thakare, 5Prof. Neha Naringe, 6Prof. Mrunal D. Thakare (2026) studied this question.

synapsesocial.com/papers/6a1bd12d5783ba022b6fccb6https://doi.org/10.5281/zenodo.20442790
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