Mst. Zannatun Ferdus
Mst. Zannatun Ferdus
PhD Researcher, Artificial Intelligence & Machine Learning Researcher, University of the Potomac, Washington, D.C., USA
Title of Talk:
Advancing Explainable and Agentic Artificial Intelligence for Clinical Decision Support and Public Health Intelligence
Abstract
This keynote explores how explainable AI, Large Language Models, Retrieval-Augmented Generation, and Agentic AI can transform clinical decision support, disease prediction, healthcare operations, and public health intelligence. It discusses deployment-ready AI systems that improve patient safety, operational efficiency, healthcare accessibility, and data-driven decision-making while maintaining transparency, reliability, and appropriate human oversight.
Brief Profile
Mst. Zannatun Ferdus is a PhD researcher specializing in Artificial Intelligence and Machine Learning for healthcare. Her research focuses on explainable AI, clinical decision support, Retrieval-Augmented Generation (RAG), agentic AI, disease prediction, healthcare operations, and public health intelligence. She develops deployment-ready AI systems that improve patient outcomes, healthcare efficiency, and evidence-based decision-making while emphasizing safety, transparency, and human-centered AI.