Projects per year
Organisation profile
Organisation profile
Head of research group: Thomas Kronborg Larsen
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
The fingerprint consists of concepts related to the research profile of the unit and associated persons. It is updated automatically, when new content is added.
Collaborations from the last five years
Dive into details by clicking on the dots.
Profiles
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LIGHTS: The Northern Lighthouse Predicting and Preventing Cardiometabolic Diseases
Larsen, T. K. (PI), Rohde, P. D. (PI), Hangaard, S. (PI), Cichosz, S. L. (PI) & Plocharski, M. (PI)
29/10/2025 → …
Project: Research
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Pattern recognition and visualization: Utilizing long term continues glucose monitoring data from people with type 2 diabetes
Giese, I. E. (PI), Hangaard, S. (Supervisor), Larsen, T. K. (Supervisor) & Jensen, M. H. (Supervisor)
01/06/2025 → 01/03/2028
Project: PhD Project
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MITST: MITST for Critical-Care Decision Support: Deep Learning on Irregular Multi-source ICU Time-Series
Mehdizavareh, M. H. (PI), Khan, A. (Supervisor) & Cichosz, S. L. (Supervisor)
01/08/2023 → 31/07/2026
Project: PhD Project
Research output
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Closing the data gap: leveraging pretrained neural networks for robotic surgical assessment on limited clinical data
Hashemi, N., Mose, M., Østergaard, L. R., Bjerrum, F., Søgaard-Andersen, E., Fabrin, K., Tuckus, G., Friis, M. L., Rasmussen, S. & Tolsgaard, M. G., Dec 2026, In: Journal of Robotic Surgery. 20, 1, 39.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile -
A continuous glucose monitoring device as a valuable tool for supporting diabetes care in haemodialysis patients: A qualitative interview study
Laursen, S. H., Kristensen, I. V., Larsen, H. R., Vestergaard, P., Jensen, M. H. & Hejlesen, O. K., 1 Jan 2025, In: Nordic Journal of Nursing Research. 45, p. 1-9 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)65 Downloads (Pure) -
Adherence to Activity Trackers in a Telemonitoring Trial for People with Insulin-Dependent Type 2 Diabetes, A Post Hoc Analysis
Rosenskjold, J., Ekelund Johansen, S., Kronborg, T., Jensen, M. H., Vestergaard, P. & Hangaard, S., 26 Aug 2025, In: Diabetologia. 68, Suppl. 1, p. 431 843.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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, 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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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, 2024
DOI: 10.6084/m9.figshare.c.6900634.v1, https://springernature.figshare.com/collections/Therapists_experiences_with_implementing_new_documentation_practices_for_low_back_pain_in_electronic_health_care_records_an_interview_study/6900634/1
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.v1, 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/21778396/1
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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Cancer Epidemiology, Biomarkers & Prevention (Journal)
Cichosz, S. L. (Peer reviewer)
Nov 2025Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Computer Methods in Biomechanics and Biomedical Engineering (Journal)
Cichosz, S. L. (Peer reviewer)
Oct 2025Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Nature Communications (Journal)
Cichosz, S. L. (Peer reviewer)
Oct 2025Activity: Editorial work and peer review › Peer review of manuscripts › Research
Press/Media
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Missing sensor data can hide poor blood suger control
Cichosz, S. L. & Jensen, M. H.
17/11/2025
1 item of Media coverage
Press/Media: Press / Media
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Manglende sensordata kan skjule dårlig blodsukkerkontrol
Cichosz, S. L., Jensen, M. H., Larsen, T. K. & Hangaard, S.
12/11/2025
2 items of Media coverage
Press/Media: Press / Media
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AI kan redde tusindvis af liv hos kritisk syge diabetes-patienter
13/09/2025
1 item of Media coverage
Press/Media: Press / Media
Impacts
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Greater Quality of Life for Diabetics via Alerts
Jensen, M. H. (Participant), Hangaard, S. (Participant), Larsen, T. K. (Participant) & Nørlev, J. D. (Participant)
Impact: Quality of life impact
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New AI Model Could Save Lives in Hospitals
Mehdizavareh, M. H. (Participant), Khan, A. (Participant) & Cichosz, S. L. (Participant)
Impact: Quality of life impact