Projects per year
Organisation profile
Organisation profile
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
Collaborations from the last five years
Profiles
-
Amalie Koch Andersen
- The Faculty of Medicine - Research assistant
- Department of Health Science and Technology - Research assistant
- Medical Informatics and Image Analysis - Research assistant
Person: VIP
-
Jonas Dahl Andersen
- The Faculty of Medicine - Research assistant, PhD Fellow
- Department of Health Science and Technology - PhD Fellow
- Medical Informatics and Image Analysis
Person: VIP
-
Stig Kjær Andersen
- The Faculty of Medicine - Emeritus Associate Professor
- Department of Health Science and Technology - Emeritus Associate Professor
- Medical Informatics and Image Analysis
- AI for the People
- Danish Centre for Health Informatics
Person: VIP, External
-
The use of continuous glucose monitoring (CGM) devices for advanced diagnostics and diabetes care
01/10/2022 → 01/10/2026
Project: Research
-
Digitale signaturprojekter: Udvikling af algoritmer til prædiktion af sundhedseffekter ved multisygdom
01/01/2022 → 31/12/2024
Project: Research
-
Sten-O Starter Kliniske Effekter
Cichosz, S. L., Bender, C., Jensen, M. H. & Hejlesen, O.
01/09/2020 → 31/12/2023
Project: Research
Research output
-
A machine learning model for basal insulin titration of people with type 2 diabetes: preliminary results
Thomsen, C. H. N., Kronborg, T., Hangaard, S., Vestergaard, P., Hejlesen, O. & Jensen, M. H., 2023, (Accepted/In press) In: Diabetologia.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
-
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, In: JMIR Research Protocols. 12, e37673.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile12 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) In: Current Drug Safety.Research output: Contribution to journal › Journal article › Research › peer-review
Datasets
-
The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis
Witt Udsen, F. (Creator), Hangaard, S. (Creator), Bender, C. (Creator), Andersen, J. D. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Laursen, S. H. (Creator), Sage Journals, 2022
DOI: 10.25384/sage.c.5835671.v1, https://sage.figshare.com/collections/The_Effectiveness_of_Telemedicine_Solutions_in_Type_1_Diabetes_Management_A_Systematic_Review_and_Meta-analysis/5835671/1
Dataset
-
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. (Creator), Boel, L. (Creator), Witt Udsen, F. (Creator), Secher, P. H. (Creator), Andersen, J. D. (Creator), Vestergaard, P. (Creator), Hejlesen, O. K. (Creator) & Hangaard, S. (Creator), 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
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
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), 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
Dataset
Prizes
-
Teacher of the Year at The Faculty of Medicine
Plocharski, Maciej (Recipient), 2021
Prize: Educational prizes
-
Teacher of the Year at the Study Board of Health and Technology
Plocharski, Maciej (Recipient), 2020
Prize: Educational prizes
-
Jos Willems Early Career Investigator
Melgaard, Jacob (Recipient), 13 Apr 2019
Prize: Conference prizes
Activities
-
Communications medicine (Journal)
Simon Lebech Cichosz (Peer reviewer)
27 Sept 2023Activity: Editorial work and peer review › Peer review of manuscripts › Research
-
Scientific Reports (Journal)
Simon Lebech Cichosz (Peer reviewer)
20 Sept 2023Activity: Editorial work and peer review › Peer review of manuscripts › Research
-
B M C Public Health (Journal)
Simon Lebech Cichosz (Peer reviewer)
13 Sept 2023Activity: Editorial work and peer review › Peer review of manuscripts › Research
Press/Media
-
Ny professor i digital sundhed og diabetes
08/12/2022
1 item of Media coverage
Press/Media: Press / Media
-
Gennemskuelig kunstig intelligens skal advare diabetikere om insulinføling
Thomas Kronborg, Ole Hejlesen & Morten Hasselstrøm Jensen
04/01/2022
1 item of Media coverage
Press/Media: Press / Media
-
Gennemskuelig kunstig intelligens skal advare diabetikere om insulinføling
Thomas Kronborg, Ole Hejlesen & Morten Hasselstrøm Jensen
10/12/2021
1 item of Media coverage
Press/Media: Press / Media
Impacts
-
Greater quality of life for diabetics via warnings
Morten Hasselstrøm Jensen (Participant)
Impact: Quality of life impact