AI and Automation in Signal Detection

Artificial Intelligence (AI) and automation are revolutionizing signal detection by accelerating data analysis, reducing manual workload, and improving accuracy. This session discusses how machine learning algorithms and natural language processing are being applied to vast datasets from spontaneous reports, EHRs, and literature sources to identify potential safety signals earlier and more reliably. Automation of routine pharmacovigilance processes, such as case triage and duplicate detection, is also examined. Experts will highlight the importance of data validation, model transparency, and regulatory acceptability of AI-driven tools. Practical examples of successful implementation in industry settings will demonstrate how AI augments pharmacovigilance efficiency while maintaining scientific and ethical standards.

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