Projects per year
Organisation profile
Organisation profile
Head of research group: Lasse Riis Østergaard
Who we are
The Medical Informatics and Image Analysis Group conducts teaching and research in a wide range of topics within Medical Informatics and Image Analysis.
Our research
Our research areas include focuses on Telehealth and Digital Health, Machine Learning, Artificial Intelligence, Image Analysis, Decision Support and Modelling. Main objectives include investigating predictors/biomarkers for improved diagnosis and treatment within several clinical areas as well as modeling complex medical structures and processes.
How does our research contribute to societal health challenges?
• Predicting the effects and costs of telehealth in heart failure, diabetes and COPD patients.
• Predictive modelling to reduce the number and/or duration of preventable hospital admissions by taking advantage of data, collected in the home care setting.
• Investigate imaging biomarkers and models in cancer and neurodegenerative diseases for improved diagnosis
Who are our key collaborators?
Steno Diabetes Center North Denmark (SDCN), The North Denmark Region/TeleCare Nord, Novo Nordisk and private external funding, e.g. Agilent Technologies and Brainreader.
Fingerprint
Dive into the research topics where Medical Informatics and Image Analysis is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Behovsafdækning: Børn og unge med overvægt og deres familier
Hangaard, S. (PI) & Rosenskjold, J. (CoI)
01/08/2026 → 30/06/2027
Project: Research
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AI-driven Risk Evaluation to Enhance Clinical Decision- Making in Ureterolithiasis Management (AI-STONE)
Eriksen, A. U. (Project Participant), Østergaard, L. R. (CoPI) & Nielsen, T. K. (PI)
01/02/2026 → 31/01/2029
Project: PhD Project
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Ambient AI Scribes in Clinical Practice
Hangaard, S. (PI) & Knoph, R. (CoI)
01/02/2026 → 28/02/2027
Project: Research
Research output
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AI-based clinical prediction model for early infectious disease classification in the emergency department
Søgaard, S. N., Skjøt-Arkil, H., Mogensen, C. B., Aagaard, T. & Larsen, T. K., 2026, In: Frontiers in Artificial Intelligence. 9, 1894719.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Pure) -
A Prediction Model for Cardiovascular Death in Individuals with Prediabetes
Andersen, A., Færch, K., Vistisen, D., Scholten, B. J. I. H. V., Jørgensen, N. B., Cichosz, S. L. & Jensen, M. H., 21 May 2026, Opening the Personal Gate between Technology and Health Care: Proceedings of MIE 2026. Hagglund, M., Lindskold, L., Lhotska, L., Marceglia, S., Parimbelli, E., Sacchi, L., Soda, P., Stoicu-Tivadar, L., Veltri, P., Vizza, P., Giacomini, M., Delgado, J., Arvanitis, T. N., Andrikopoulou, E., Benis, A., Balestra, G., Bellazzi, R., Gallos, P. G., Gatta, R., Giacobbe, D. R. & Giordano, N. (eds.). IOS Press, Vol. 336. p. 494-495 2 p. (Studies in Health Technology and Informatics, Vol. 336).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile18 Downloads (Pure) -
Artificial Neural networks Models Fail to Accurately Estimate Fat and Lean Body Mass
Encarnação, I. G. A. D., Cerqueira, M. S., Cichosz, S. L., Oliveira, C. E. P. D., Marins, J. C. B. & Moreira, O. C., Apr 2026, In: JAND Global Reports. 2, 100013.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile8 Downloads (Pure)
Datasets
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Therapists’ experiences with implementing new documentation practices for low back pain in electronic health care records: an interview study
Toftdahl, A. K. S. (Creator), Ibsen, S. (Creator), Pape-Haugaard, L. B. (Creator) & Riis, A. (Creator), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.c.6900634, https://springernature.figshare.com/collections/Therapists_experiences_with_implementing_new_documentation_practices_for_low_back_pain_in_electronic_health_care_records_an_interview_study/6900634
Dataset
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sj-xlsx-1-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 24 Dec 2022
DOI: 10.25384/sage.21778393, https://sage.figshare.com/articles/dataset/sj-xlsx-1-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778393
Dataset
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sj-xlsx-2-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 24 Dec 2022
DOI: 10.25384/sage.21778396, https://sage.figshare.com/articles/dataset/sj-xlsx-2-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778396
Dataset
Prizes
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3rd Best Paper Award
Rettore Andreis, F. (Recipient), Jensen, W. (Recipient), Janjua, T. (Recipient), Meijs, S. (Recipient) & Nielsen, T. G. N. D. S. (Recipient), Oct 2023
Prize: Conference prizes
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Teacher of the Year at The Faculty of Medicine
Plocharski, M. (Recipient), 2023
Prize: Educational prizes
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Teacher of the Year at the Study Board of Health and Technology
Plocharski, M. (Recipient), 2023
Prize: Educational prizes
Activities
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The Latvian Council of Science
Cichosz, S. L. (Consultant)
Jul 2026Activity: Public/private sector consultancy and other employment › Public Sector Consultancy
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Diabetes Technology & Therapeutics (Journal)
Cichosz, S. L. (Peer reviewer)
May 2026Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Diabetes Technology & Therapeutics (Journal)
Cichosz, S. L. (Peer reviewer)
Feb 2026Activity: Editorial work and peer review › Peer review of manuscripts › Research
Press/Media
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AI Carb Estimates From ChatGPT a Glycemic Risk?
Risak Johansen, A. & Cichosz, S. L.
04/03/2026
1 item of Media coverage
Press/Media: Press / Media
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Nye teknologier kan revolutionere diabetesbehandling
Jensen, M. H. & Cichosz, S. L.
07/01/2026
1 item of Media coverage
Press/Media: Press / Media
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Tre nye teknologier, der kan revolutionere diabetesbehandling
Jensen, M. H. & Cichosz, S. L.
28/12/2025
2 items of Media coverage
Press/Media: Press / Media
Impacts
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Greater Quality of Life for Diabetics via Alerts
Jensen, M. H. (Participant), Casper, S. H. (Participant), Larsen, T. K. (Participant) & Nørlev, J. T. D. (Participant)
Impact: Quality of life impact
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Impact on clinical practice
Davidsen, L. (Participant), Cichosz, S. L. (Participant), Vestergaard, P. (Participant), Drewes, A. M. (Participant), Krag Knop, F. (Participant), Stæhr, P. B. (Participant), Jensen, M. H. (Participant) & Olesen, S. S. (Participant)
Impact: Other impact
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Impact on Standards of Care in Diabetes
Rasmussen, V. F. (Participant), Thyssen Vestergaard, E. (Participant), Andersson, C. U. N. (Participant) & Cichosz, S. L. (Participant)
Impact: Other impact