Martin Michalowski, PhD, FAMIA

Dr. Martin Michalowski is a tenured Associate Professor in the Population Health and Systems Cooperative Unit in the School of Nursing at the University of Minnesota. Dr. Michalowski's domain of expertise is Artificial Intelligence (AI) with research interests spanning several AI areas of particular importance to medical informatics including data integration, data modeling, machine learning, clinical decision support, and knowledge representation. Automated reasoning, including constraint-based approaches, data analytics using spatio-temporal analysis methods, planning and scheduling, and Bayesian-based machine learning for game playing, rounds out his research background.

His research philosophy in the area of medical informatics is centered on interdisciplinarity and brings advanced AI methods and approaches to clinical decision support, including the mitigation of computerized clinical practice guidelines for complex patients, and personalized medicine. Methodologically, Dr. Michalowski uses automated reasoning to provide clinicians and nurses with decision support at the point of care. He also applies problem modeling techniques to capture knowledge required for improving treatment decisions and uses big data analytics to support personalized medicine. He is also involved in the development of mobile educational tools for educators and students where he uses integrated automated reasoning, knowledge representation using ontologies, and human factors design.

Dr. Michalowski’s research has been funded by various government agencies including the NIH, DARPA, DoD, and the NSF, has been published in over 85 manuscripts across computer science and health informatics venues, has resulted in the co-founding of several companies, and has led to several issued patents. He also serves on the program committees for various informatics and computer science conferences, including AAAI, AMIA, IJCAI, ACMGIS, ICAPS, and ISWC and is a reviewer for a broad range of science journals. He is the organizing chair of the International Workshop on Health Intelligence that for the past eleven iterations has been held at the AAAI conference, in addition to organizing multiple symposia and workshops on artificial intelligence in healthcare. Dr. Michalowski recently served as co-chair of both the 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020) and for AIME 2022. He serves as a panel reviewer for NIH, NSF, Canada Foundation for Innovation (CFI), and several international granting agencies.

Finally, Dr. Michalowski was awarded Senior Member status in the Association for the Advancement of Artificial Intelligence (AAAI) which recognizes AAAI members who have achieved significant accomplishments within the field of artificial intelligence. This is the second highest honor in AAAI, below AAAI Fellow. He was inducted into the Fellows of AMIA (American Medical Informatics Association), class of 2021. He also serves as a board member for the Artificial Intelligence in Medicine (AIME) society.

• Best Paper Award, 22nd International Conference on Artificial Intelligence in Medicine, 2024.
• Fellow, International Academy of Health Sciences Informatics, 2024.
• Best Paper Award, 13th Workshop on Knowledge Representation for Health Care, 2023.
• Fellow of the American Medical Informatics Association, American Medical Informatics Association, 2020
• AAAI Senior Member Status, Association for the Advancement of Artificial Intelligence, 2018
• Distinguished Paper Award, AMIA Annual Symposium, 2014
• Best Poster Award, ISI Intelligent Systems Division Graduate Student Symposium, 2007
• Runner-up Presentation, ISI Intelligent Systems Division Graduate Student Symposium, 2006
• Best Paper Award, ISI Intelligent Systems Division Graduate Student Symposium, 2006
• Canadian National Sciences and Engineering Research Council Postgraduate Scholarship, 2005

• American Medical Informatics Association. (2010 - Present)
• Association for the Advancement of Artificial Intelligence. (2003 - Present)

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (2024). AI for health equity and fairness: Leveraging AI to address social determinants of health. Springer International Publishing.

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (2023). Artificial intelligence for personalized medicine: Promoting healthy living and longevity. Springer International Publishing.

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (2023). Multimodal artificial intelligence: Next wave of innovation in healthcare and medicine. Springer International Publishing.

Michalowski, M., Abidi, S. S. R., & Abidi, S. (2022). Artificial intelligence in medicine: 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, 2022, Proceedings. Springer International Publishing. https://doi.org/10.1007/978-3-031-09342-5

O'Sullivan, D., Wilk, S., Michalowski, M., O'Sullivan, H., Carrier, M., & Michalowski, W. (2022). An approach to combining adherence-to-therapy and patient preference models for evaluation of therapies in patient-centered care. In S. Greco, V. Mousseau, J. Stefanowski, & C. Zapounidis (Eds.), Intelligent decision support systems: Combining operations research and artificial intelligence – Essays in honor of Roman Slowinski (pp. 425-440). Springer.

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (2022). AI for disease surveillance and pandemic intelligence. Springer International Publishing.

Michalowski, M., & Park, J. I. (2022). Artificial intelligence for nursing and healthcare: Potentials and cautions. In C. W. Delaney, C. Weaver, J. Seismeier, P. Weber, & L. Pruinelli (Eds.), Nursing and informatics for the 21st century (3rd ed.). Taylor & Francis Group.

Michalowski, M., & Moskovitch, R. (2020). Artificial intelligence in medicine. Springer International Publishing.

Shaban-Nejad, A., Michalowski, M., & Buckeridge, D. (2020). Explainable AI in healthcare and medicine - Building a culture of transparency and accountability. Springer International Publishing.

Shaban-Nejad, A., & Michalowski, M. (2019). Precision health and medicine: A digital revolution in healthcare. Springer International Publishing.

Michalowski, M., Wilk, S., Michalowski, W., Rao, M., & Carrier, M. (2024). Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem. Journal of Biomedical Informatics, 156, 104681.

Miley, K., Michalowski, M., Yu, F., Leng, E., McMorris, B., & Vinogradov, S. (2022). Individual prediction of social functioning outcomes in healthy young adults: A machine learning study integrating neuroanatomical, cognitive, and behavioral data. Social Neuroscience.

Brown, R. J. L., & Michalowski, M. (2022). Nurses' utilization of resources for patient care tasks: A survey of critical care nurses in an urban hospital setting. Computers, Informatics, Nursing (CIN).

von Gerich, H., Moen, H., Block, L. J., Chu, C. H., DeForest, H., Hobensack, M., Michalowski, M., Mitchell, J., Nibber, R., Olalia, M. A., Pruinelli, L., Ronquillo, C. E., Topaz, M., & Peltonen, L. M. (2022). Artificial intelligence-based technologies in nursing: A scoping literature review of the evidence. International Journal of Nursing Studies, 127, 104153.

Lu, S. C., Brown, R. J. L., & Michalowski, M. (2021). A clinical decision support system design framework for nursing practice. Applied Clinical Informatics Open, 5(2), e84-e93.

Shaban-Nejad, A., Michalowski, M., Brownstein, J. S., & Buckeridge, D. (2021). Explainable AI: Towards fairness, accountability, transparency and trust in healthcare. IEEE Journal of Biomedical and Health Informatics, 25(7), 2374-2375.

Michalowski, M., Wilk, S., Michalowski, W., O'Sullivan, D., Bonaccio, S., Parimbelli, E., Carrier, M., Le Gal, G., Kingwell, S., & Peleg, M. (2021). A health eLearning ontology and procedural reasoning approach for developing personalized courses to teach patients about their medical condition and treatment. International Journal of Environmental Research and Public Health, 18(14), 7355.

Pruinelli, L., & Michalowski, M. (2021). Towards an augmented nursing-AI future. Computers, Informatics, Nursing, 39(6), 296-297.

Ronquillo, C., Peltonen, L. M., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., Hardiker, N., Junger, A., Michalowski, M., Nyrup, R., Rahimi, S., Reed, D. N., Salakoski, T., Salanterä, S., Walton, N., Weber, P., Wiegand, T., & Topaz, M. (2021). Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing, 77(9), 3707-3717.

Michalowski, M., Wilk, S., Michalowski, W., & Carrier, M. (2021). MitPlan: A planning approach to mitigating adverse interactions in concurrently applied clinical practice guidelines. Artificial Intelligence in Medicine, 112, 102002.

Michalowski, M., Wilk, S., Bauer, J. M., Carrier, M., Delluc, A., Le Gal, G., Wang, T., Siegal, D., & Michalowski, W. (2024). Manually-curated versus LLM-generated explanations for complex patient cases: An exploratory study with physicians. In Proceedings of the Artificial Intelligence in Medicine Conference (AIME 2024) (pp. 313-323).

Michalowski, M., Moskovitch, R., & Chawla, N. V. (2024). Introduction to the special track on artificial intelligence and COVID-19 (Abstract Reprint). In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 22707-22707).

Rao, M., Michalowski, M., Wilk, S., Michalowski, W., Coles, A., & Carrier, M. (2022). Towards an AI planning-based pipeline for the management of multimorbid patients. In Proceedings of the 20th Conference on Artificial Intelligence in Medicine (AIME'22) (pp. 14-23).

O'Sullivan, D., Van Woensel, W., Wilk, S., Tu, S. W., Michalowski, W., Abidi, S., Carrier, M., Edry, R., Hochberg, I., Kingwell, S., Kogan, A., Michalowski, M., O'Sullivan, H., & Peleg, M. (2021). Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases. In Proceedings of the AMIA 2021 Annual Symposium (pp. 919-928).

Michalowski, M., Rao, M., Wilk, S., Michalowski, W., & Carrier, M. (2021). MitPlan 2.0: Enhanced support for multi-morbid patient management using planning. In Proceedings of the 19th Conference on Artificial Intelligence in Medicine (AIME'21) (pp. 276-286).

Miley, K., Michalowski, M., & Vinogradov, S. (2021). Towards a bio-behavioral model of social functioning outcomes: A machine learning approach. Schizophrenia International Research Society Annual Meeting.

Parimbelli, E., Wilk, S., O'Sullivan, D., Kingwell, S., Michalowski, W., & Michalowski, M. (2019). How do spinal surgeons perceive impact of factors used in post-surgical complication risk scores? In Proceedings of the AMIA 2019 Annual Symposium (pp. 699-706).

Michalowski, M., Wilk, S., Michalowski, W., & Carrier, M. (2019). MitPlan: A planning approach to mitigating adverse interactions in concurrently applied clinical practice guidelines. In Proceedings of the 17th Conference on Artificial Intelligence in Medicine (AIME'19) (pp. 93-103).

Michalowski, M., Wilk, S., Michalowski, W., & Carrier, M. (2018). Representing drug classes for mitigating concurrently applied CPGs. In Proceedings of the AMIA 2018 Annual Symposium (p. 2070).

Wilk, S., Fux, A., Michalowski, M., Peleg, M., & Soffer, P. (2017). Using constraint logic programming for the verification of customized decision models for clinical guidelines. In Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME'17) (pp. 37-47).

Michalowski, M., Wilk, S., Rosu, D., Kezadri, M., Michalowski, W., & Carrier, M. (2015). Expanding a first-order logic mitigation framework to handle multimorbid patient preferences. In Proceedings of the AMIA 2015 Annual Symposium (pp. 895-903).

Michalowski, M., Wilk, S., Tan, X., & Michalowski, W. (2014). First-order logic theory for manipulating clinical practice guidelines applied to comorbid patients: A case study. In Proceedings of the AMIA 2014 Annual Symposium (pp. 892-898). Distinguished Paper Award nominee.

Michalowski, M. (2022, March). Designing and evaluating clinical decision support for the management of multimorbid patients using artificial intelligence. Mayo Clinic’s Artificial Interest Group, Virtual. Invited presentation.

Michalowski, M. (2022, March). Using artificial intelligence to model and support the management of multimorbid patients. University of Minnesota IMA Data Science Seminars, Minneapolis, MN, USA. Invited presentation.

Michalowski, M. (2022, January). Artificial intelligence and nursing: The future is now. VA Nursing Informatics Continuing Education Series, Virtual. Invited presentation.

O’Sullivan, D., Van Woensel, W., Wilk, S., Tu, S. W., Michalowski, W., Abidi, S., Carrier, M., Edry, R., Hochberg, I., Kingwell, S., Kogan, A., Michalowski, M. (Presenter), O’Sullivan, H., & Peleg, M. (2021, October). Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases. AMIA 2021 Annual Symposium, San Diego, CA, USA. Peer-reviewed presentation.

Michalowski, M. (2021, June). Artificial intelligence and the future of nursing. 2021 Nursing Knowledge: Big Data Science Conference Reactor Panel, Virtual. Invited panelist.

Michalowski, W., & Michalowski, M. (2021, April). Future of AI in healthcare: Helping patients and physicians follow evidence-based care. Healthcare Systems Engineering Program, Loyola Marymount University, Virtual. Invited presentation.

Michalowski, M. (2020, June). AI for HEOR and medical affairs. EvidScience Panel Series, Virtual. Invited panelist.

Michalowski, M. (2019, November). Artificial intelligence and education: Transforming curriculum and delivery. The Study Club, Minneapolis, MN, USA. Invited presentation.

Michalowski, M. (2019, October). Artificial intelligence and nursing: The what, the why, and the how. Brocher Workshop on Artificial Intelligence for Nursing: Ethical, Legal and Social Implications, Geneva, Switzerland. Invited presentation.

Michalowski, M., Wilk, S., Michalowski, W., & Carrier, M. (2019, April). Representing drug classes for mitigating concurrently applied CPGs. University of Minnesota School of Nursing Research Day, Minneapolis, MN, USA. Invited presentation.

Award: Developing Data-Driven Clinical Signatures for People who Experience Hallucinations
Co-Investigator: Michalowski, Martin
Sponsoring Organization: NIA
Award Dates: 2024 - 2029

Award: Improving Safety and Access to Immune Effector Cell Therapy with Artificial Intelligence Technology
Co-Investigator: Michalowski, Martin
Sponsoring Organization: NIH
Award Dates: 2024 - 2026

Award: A Multi-Modal Data Integration Approach to Improve Health Care Management
Principal Investigators: Michalowski, Martin; Pakhomov, Sergey V
Sponsoring Organization: University of Minnesota Informatics Institute
Award Dates: 2022 - 2023

Award: Combining Older Adults' Clinical and Non-Clinical Data Using Data-Driven Whole-Person User Personas
Principal Investigators: Austin, Robin A; Michalowski, Martin; Marquard, Jenna
Sponsoring Organization: NIH National Institute on Aging (NIA)
Award Dates: 2022 - 2023

Award: Computerized assessment of linguistic indicators of lucidity in Alzheimer's Disease dementia
Principal Investigator: Pakhomov, Sergey V
Sponsoring Organization: NIH National Institute on Aging (NIA)
Award Dates: 2021 - 2023

Award: AI-DCL: Addressing Sociotechnical Challenges of Conversational Agents and Interventions in the Context of Elderly Care
Principal Investigators: Gini, Maria L; Michalowski, Martin; Pakhomov, Sergey V
Sponsoring Organization: The National Science Foundation
Award Dates: 2019 - 2022

Award: Interactive Digital Psychoeducation for Adolescents and
Principal Investigator: Michalowski, Martin
Sponsoring Organization: Andiamo Games, LLC
Award Dates: 2019 - 2021

Award: BrainAware: Interactive digital psychoeducation for adolescents and young adults with substance use disorder
Principal Investigator: Michalowski, Martin
Sponsoring Organization: Andiamo Games, LLC
Award Dates: 2018 – 2019

Michalowski, M., Carpenter, T. P., & Nelson, K. S. (2018). Interactive educational tool (United States Patent No. US10002540). United States Patent and Trademark Office.

Michalowski, M., Carpenter, T. P., & Nelson, K. S. (2015). Interactive educational tool (United States Patent No. US9111458). United States Patent and Trademark Office.

• Medical informatics, specifically clinical decision support at the point of care
• Innovation in nursing informatics for better care management
• Improving patient outcomes through the use of mHealth for personalized educational interventions
• Clinical Practice Guideline mitigation using AI to develop treatment plans for multi-morbid patients
• Therapy compliance
• Personalized medicine