AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP

AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP

In the healthcare industry, the ever-increasing volume of clinical trial data presents challenges for ensuring drug safety and detecting adverse drug reactions (ADRs). This study aims to address the challenge of accurately detecting Serious Adverse Events (SAEs) in pharmacovigilance, a critical comp...

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Bibliographic Details
Main Authors: Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:MethodsX
Subjects:
Pharmacovigilance
Adverse drug reactions (ADRs)
Artificial intelligence
Machine learning
Clinical trial data processing deep learning
Natural language processing (NLP)
Online Access:http://www.sciencedirect.com/science/article/pii/S221501612500305X
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http://www.sciencedirect.com/science/article/pii/S221501612500305X

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