AI and Machine Learning in Post-Market Surveillance

Leo Park of Click Therapeutics and Aparna Ahuja of Abbott return for a panel discussion focused specifically on the application of AI and machine learning in post-market surveillance. As the volume and variety of safety-relevant data continue to grow exponentially, traditional manual approaches to signal detection and adverse event review are becoming unsustainable.

The panelists will examine real-world applications of machine learning for automated adverse event classification, natural language processing for mining unstructured safety data, and predictive analytics for early signal detection. The discussion will also address the regulatory perspective on AI in safety, including FDA and international guidance on the validation and use of AI/ML in safety-critical applications.

This session is essential for safety leaders who want to understand both the current capabilities and the limitations of AI/ML in post-market surveillance, and to develop a practical strategy for integrating these technologies into their safety workflows.