Martin Michalowski

Associate Professor, School of Nursing

Adjunct Professor, School of Electrical Engineering and Computer Science, University of Ottawa

Contact

[email protected]

612-625-0992

6-133 Weaver-Densford Hall
308 Harvard Street Se
Minneapolis, MN 55455

Affiliations

Population Health and Systems Cooperative

Martin Michalowski

Associate Professor, School of Nursing

Adjunct Professor, School of Electrical Engineering and Computer Science, University of Ottawa

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.

Research

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.

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Biography

Education

PhD, University of Southern California, Computer Science
MS, University of Southern California, Computer Science
B. CompE, University of Minnesota, Computer Engineering

Scientific & Professional Societies

American Medical Informatics Association

Association for the Advancement of Artificial Intelligence

Upsilon Pi Epsilon, Computer Science Honor Society, USC Chapter

A.I. Graduate Student Task Force, USC/ISI

Publications & Awards

Honors and Awards

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

Selected Grants

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

Books

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. Lecture Notes in Computer Science 13263(1). Springer International Publishing (Verlag). Published 07/2022.

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 Greco S., Mousseau V., Stefanowski J., Zapounidis C. (Eds). Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence – Essays in Honor of Roman Slowinski. Springer Verlag, pp. 425-440. Published 05/2022.

Shaban-Nejad A., Michalowski M., Bianco S. (2022). AI for Disease Surveillance and Pandemic Intelligence. Studies in Computational Intelligence. Springer International Publishing (Verlag). Published 03/2022.

Michalowski M., Park J.I. (2022). Artificial Intelligence for Nursing and Healthcare: Potentials and Cautions. In Delaney C.W., Weaver C., Seismeier J., Weber P., Pruinelli L. (Eds.). Nursing and Informatics for the 21^st Century (3^rd Ed). Taylor & Francis Group, LLC. Published 03/2022.

Michalowski M., Moskovitch R. (2020). Artificial Intelligence in Medicine. Lecture Notes in Artificial Intelligence 12299(1). Springer International Publishing (Verlag). Published 11/2020.

Shaban-Nejad A., Michalowski M., Buckeridge D. (2020). Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability. Studies in Computational Intelligence 914(1). Springer International Publishing (Verlag). Published 10/2020.

Shaban-Nejad A., Michalowski M. (2019) Precision Health and Medicine: A Digital Revolution in Healthcare. Studies in Computational Intelligence 843(1). Springer International Publishing (Verlag). Published 09/2019.

Selected Publications

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. 05(02): 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 (IJERPH). 18(14):7355.

Pruinelli L., Michalowski M. (2021). Towards an Augmented Nursing-AI Future. CIN: 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 (JAN). 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 (AIIM). Volume 112:102002.

Refereed Proceedings of Conferences

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. (20^th Conference on Artificial Intelligence in Medicine (AIME'22), Halifax, Canada, June 14-17, 2022) (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. (AMIA 2021 Annual Symposium, San Diego CA, 2021) (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. (19^th Conference on Artificial Intelligence in Medicine (AIME’21), Porto, Portugal, June 15-18, 2021) (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, Virtual, April 2021).

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? (AMIA 2019 Annual Symposium, Washington DC, 2019) (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. (17^thConference on Artificial Intelligence in Medicine (AIME’19), Poznan, Poland, 2019,) (pp 93-103).

Michalowski M., Wilk, S., Michalowski W., Carrier M. (2018) Representing Drug Classes for Mitigating Concurrently Applied CPGs (AMIA 2018 Annual Symposium, 2018, San Francisco CA, 2018) (pp. 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 (16^thConference on Artificial Intelligence in Medicine (AIME’17), 2017, Vienna, Austria) (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 (AMIA 2015 Annual Symposium, 2015, San Francisco, CA) (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 (AMIA 2014 Annual Symposium, 2014, Washington DC) (pp. 892-898). Distinguished Paper Award nominee

Data Science Research Interests