Projekter pr. år
Organisationsprofil
Organisationsprofil
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
Netværk
Profiler
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Jonas Dahl Andersen
- Det Sundhedsvidenskabelige Fakultet - Videnskabelig assistent, Ph.d.-stipendiat
- Institut for Medicin og Sundhedsteknologi - Ph.d.-stipendiat
- Medical Informatics and Image Analysis
Person: VIP
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Riccardo Belazzi
- Det Sundhedsvidenskabelige Fakultet - Adjungeret professor
- Institut for Medicin og Sundhedsteknologi - Adjungeret professor
- Medical Informatics and Image Analysis - Adjungeret professor
Person: Ekstern
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The use of continuous glucose monitoring (CGM) devices for advanced diagnostics and diabetes care
01/10/2022 → 01/10/2026
Projekter: Projekt › Forskning
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Digitale signaturprojekter: Udvikling af algoritmer til prædiktion af sundhedseffekter ved multisygdom
01/01/2022 → 31/12/2024
Projekter: Projekt › Forskning
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ADAPT-T2D: Adherence through cloud-based Personalised Treatment for Type 2 Diabetes
Jensen, M. H., Stoustrup, J., Hangaard, S. & Larsen, T. K.
01/12/2019 → 01/12/2024
Projekter: Projekt › Forskning
Publikationer
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An Interactive Communication Model for Self-Care—Regardless of Health Literacy: Protocol for a Quasi-Experimental Study
Hæsum, L. K. E., Hejlesen, O. & Udsen, F. W., 31 mar. 2023, I: JMIR Research Protocols. 12, e37673.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil6 Downloads (Pure) -
Association between Glucose-Lowering Treatments and Risk of Diabetic Retinopathy in People with Type 2 Diabetes: A Nationwide Cohort Study
Hasselstrøm Jensen, J., Vestergaard, P. & Hasselstrøm Jensen, M., 20 apr. 2023, (E-pub ahead of print) I: Current Drug Safety.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Association between thoracic and third lumbar CT-derived muscle mass and density in Caucasian patients without chronic disease: a proof-of-concept study
Brath, M. S. G., Sahakyan, M., Mark, E. B., Frøkjær, J. B., Rasmussen, H. H., Østergaard, L. R. & Weinreich, U. M., 29 maj 2023, I: European radiology experimental. 7, 1, 26.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil1 Downloads (Pure)
Forskningsdatasæt
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Effectiveness of Telemedicine in Managing Diabetes in Pregnancy: A Systematic Review and Meta-Analysis
Laursen, S. H. (Ophavsperson), Boel, L. (Ophavsperson), Udsen, F. W. (Ophavsperson), Secher, P. H. (Ophavsperson), Andersen, J. D. (Ophavsperson), Vestergaard, P. (Ophavsperson), Hejlesen, O. K. (Ophavsperson) & Hangaard, S. (Ophavsperson), Sage Journals, 2022
DOI: 10.25384/sage.c.5988112.v1, https://sage.figshare.com/collections/Effectiveness_of_Telemedicine_in_Managing_Diabetes_in_Pregnancy_A_Systematic_Review_and_Meta-Analysis/5988112/1
Datasæt
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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. (Ophavsperson), Hangaard, S. (Ophavsperson), Larsen, T. K. (Ophavsperson), Vestergaard, P. (Ophavsperson), Hejlesen, O. (Ophavsperson) & Jensen, M. H. (Ophavsperson), Sage Journals, 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
Datasæt
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sj-docx-1-dst-10.1177_19322968221094626 – Supplemental material for Effectiveness of Telemedicine in Managing Diabetes in Pregnancy: A Systematic Review and Meta-Analysis
Laursen, S. H. (Ophavsperson), Boel, L. (Ophavsperson), Udsen, F. W. (Ophavsperson), Secher, P. H. (Ophavsperson), Andersen, J. D. (Ophavsperson), Vestergaard, P. (Ophavsperson), Hejlesen, O. K. (Ophavsperson) & Hangaard, S. (Ophavsperson), Sage Journals, 2022
DOI: 10.25384/sage.19739164.v1, https://sage.figshare.com/articles/journal_contribution/sj-docx-1-dst-10_1177_19322968221094626_Supplemental_material_for_Effectiveness_of_Telemedicine_in_Managing_Diabetes_in_Pregnancy_A_Systematic_Review_and_Meta-Analysis/19739164/1
Datasæt
Priser
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Årets Underviser ved Det Sundhedsvidenskabelige Fakultet
Plocharski, Maciej (Modtager), 2021
Pris: Undervisningspriser
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Årets Underviser ved Studienævn for Sundhed og Teknologi
Plocharski, Maciej (Modtager), 2020
Pris: Undervisningspriser
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Aktiviteter
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Scientific Reports (Tidsskrift)
Simon Lebech Cichosz (Fagfællebedømmer)
23 maj 2023Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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Journal of Diabetes Science and Technology (Tidsskrift)
Simon Lebech Cichosz (Fagfællebedømmer)
22 maj 2023Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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B M C Pregnancy and Childbirth (Tidsskrift)
Simon Lebech Cichosz (Fagfællebedømmer)
22 maj 2023Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
Presse/medier
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Gennemskuelig kunstig intelligens skal advare diabetikere om insulinføling
Thomas Kronborg, Ole Hejlesen & Morten Hasselstrøm Jensen
04/01/2022
1 element af Mediedækning
Presse/medie
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Gennemskuelig kunstig intelligens skal advare diabetikere om insulinføling
Thomas Kronborg, Ole Hejlesen & Morten Hasselstrøm Jensen
10/12/2021
1 element af Mediedækning
Presse/medie
Impacts
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Øget livskvalitet for diabetikere via advarsler
Morten Hasselstrøm Jensen (Deltager)
Impact: Livskvalitets impact