Projekter pr. år
Organisationsprofil
Organisationsprofil
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
Samarbejde i de sidste fem år
Profiler
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The use of continuous glucose monitoring (CGM) devices for advanced diagnostics and diabetes care
Cichosz, S. L. (PI (principal investigator))
01/10/2022 → 01/10/2026
Projekter: Projekt › Forskning
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ADAPT-T2D: Adherence through cloud-based Personalised Treatment for Type 2 Diabetes
Jensen, M. H. (Projektleder), Stoustrup, J. (PI (principal investigator)), Hangaard, S. (Projektdeltager), Larsen, T. K. (Projektdeltager), Thomsen, C. H. N. (Projektdeltager), Leth, J.-J. (Projektdeltager) & Ahdab, M. A. (Projektdeltager)
01/12/2019 → 30/10/2025
Projekter: Projekt › Forskning
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Publikationer
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A laboratory feasibility study using a computer algorithm for anastomosis segmentation of epicardial ultrasonography images from distal coronary artery bypass anastomoses
Jørgensen, A. S., Andersen, M. S., Østergaard, L. R., Schmidt, S. E., Nøhr, D. & Andreasen, J. J., dec. 2025, I: Journal of Cardiothoracic Surgery. 20, 1, s. 34 34.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil -
Artificial Intelligence to Diagnose Complications of Diabetes
Ayers, A. T., Ho, C. N., Kerr, D., Cichosz, S. L., Mathioudakis, N., Wang, M., Najafi, B., Moon, S.-J., Pandey, A. & Klonoff, D. C., jan. 2025, I: Journal of Diabetes Science and Technology. 19, 1, s. 246-264 19 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Assessing the Accuracy of CGM Metrics: The Role of Missing Data and Imputation Strategies
Cichosz, S. L., Kronborg, T., Hangaard, S., Vestergaard, P. & Jensen, M. H., 2025, I: medRxiv.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
Åben adgang
Forskningsdatasæt
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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. (Ophavsperson), Ibsen, S. (Ophavsperson), Pape-Haugaard, L. B. (Ophavsperson) & Riis, A. (Ophavsperson), 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
Datasæt
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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. (Ophavsperson), Ibsen, S. (Ophavsperson), Pape-Haugaard, L. B. (Ophavsperson) & Riis, A. (Ophavsperson), 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
Datasæt
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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. (Ophavsperson), Hangaard, S. (Ophavsperson), Kronborg, T. (Ophavsperson), Vestergaard, P. (Ophavsperson), Hejlesen, O. (Ophavsperson) & Jensen, M. H. (Ophavsperson), 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
Datasæt
Priser
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3rd Best Paper Award
Rettore Andreis, F. (Modtager), Jensen, W. (Modtager), Janjua, T. (Modtager), Meijs, S. (Modtager) & Nielsen, T. G. N. D. S. (Modtager), okt. 2023
Pris: Konferencepriser
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Årets Underviser ved Det Sundhedsvidenskabelige Fakultet
Plocharski, M. (Modtager), 2023
Pris: Undervisningspriser
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Årets Underviser ved Studienævnet for Sundhed og Teknologi
Plocharski, M. (Modtager), 2023
Pris: Undervisningspriser
Aktiviteter
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Diabetes Technology & Therapeutics (Tidsskrift)
Cichosz, S. L. (Fagfællebedømmer)
14 mar. 2025Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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Diabetes Technology & Therapeutics (Tidsskrift)
Cichosz, S. L. (Fagfællebedømmer)
11 mar. 2025Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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Journal of Diabetes Science and Technology (Tidsskrift)
Cichosz, S. L. (Fagfællebedømmer)
mar. 2025Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
Presse/medier
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Sensor og app hjælper diabetikere i mål med at sænke blodsukker
23/12/2024 → 26/12/2024
56 elementer af Mediedækning
Presse/medie