Martin Michalowski
Speaking Sessions
Explainable AI for Clinical Decision Support in Multimorbidity: Toward Transparent and Personalized Care
Managing multimorbidity presents one of the most pressing challenges in modern healthcare, requiring nuanced clinical decisions that balance complex comorbid conditions, medications, and patient preferences. In this talk, I will explore how explainable AI (XAI) can enhance Clinical Decision Support Systems (CDSSes) to deliver transparent, trustworthy, and personalized guidance to clinicians working with patients who face multiple chronic conditions. Emphasis will be placed on integrating diverse biomedical data into AI models that not only predict outcomes but also offer rationales for their recommendations. Through clinical use cases, I will demonstrate how explainability is crucial for clinical adoption, ethical alignment, and improved patient outcomes. The talk will also highlight design considerations for human-AI collaboration and discuss future directions for building adaptive, interpretable CDSS platforms that support individualized care across varied healthcare settings.
Biography
Dr. Michalowski is a School of Nursing Foundation Research Professor, a Co-Director of the Center for Nursing Informatics, and a Co-Leader of the Digital Health Lab at the University of Minnesota. He is also a co-leader of the Mobile Emergency Triage (MET) Research Group, an international research collaboration, and he serves as Co-Director of the Nursing and Artificial Intelligence Leadership Collaborative. His research portfolio includes novel contributions in information integration, record linkage, heuristic-based planning, constraint satisfaction problems, large language models, and leveraging artificial intelligence (AI) methods in nursing informatics research. His interdisciplinary research brings advanced AI methods and models to clinical decision support at the point of care and personalized medicine.
Dr. Michalowski earned his Ph.D. in Computer Science from the University of Southern California, where he solved automated reasoning problems using AI. In 2018, he was elected Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI); in 2021, he was named to the Fellows of the American Medical Informatics Association (FAMIA); in 2024, he was elected to the Academy Fellows of the International Academy of Health Sciences Informatics (IAHSI). He authored and co-authored over 100 peer-reviewed articles on a range of AI-related topics. Dr. Michalowski is the organizing chair of the International Workshop on Health Intelligence (W3PHIAI) held at the AAAI annual conference. He was co-chair of the 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020) and served in the same role for AIME 2022. He currently serves as co-chair of the AIME society. His research has received funding from the NSF, NIH, DARPA, DoD, and various private foundations. His work has resulted in two patents, various startup companies, and best paper awards at several top-tier health informatics and AI conferences.