TK
Thomas Kronborg
Also known as: Thomas Kronborg Larsen
Aalborg University
Research areas: Medicine · Endocrinology, Diabetes and Metabolism · Diabetes Management and Research · Diabetes Management and Education · Artificial Intelligence in Healthcare
0000-0002-2693-0527
Employment
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Aalborg University Associate Professor2023 - Present
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Aalborg University Assistant Professor2020 - 2023
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Aalborg University PhD student2016 - 2020
Education
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Aalborg University M.Sc. Biomedical Engineering and Informatics2010 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (90)
- Developing a Simple Non–Laboratory-Based Machine Learning Tool for Prediabetes Screening in a Target Population: A Proof-of-Concept Study Save
- Increased Glycemic Variability in Patients With Chronic Pancreatitis and Diabetes Compared to Type 2 Diabetes Save
- Developing a Metric for Bone Union in Mandibular Reconstruction using Quantitative CT Save
- Identifying Undiagnosed COPD Using Machine Learning-Based Classification Save
- The Effect of Telemonitoring on Quality of Life in People with Insulin-Treated Type 2 Diabetes Save
- Development of a complex digital lifestyle intervention for individuals with prediabetes – Using the Medical research Council (MRC) framework Save
- Heuristic Evaluation of a Web-Based Telemonitoring Application for Chronic Obstructive Pulmonary Disease Save
- Patient Perspectives on Telemonitoring in Insulin-Treated Type 2 Diabetes Save
- Usability of a Telemonitoring System for People with Type 2 Diabetes on Insulin Therapy Save
- Beyond the Mean: A Machine Learning-Based Trend Analysis of CGM Metrics for Improved HbA 1C Estimation in Type 2 Diabetes Save
- Prediction of infection in the emergency department—a machine learning model Save
- Identifying the Relationship Between Continuous Glucose Monitor Time in Range and Basal Insulin Adherence in People With Type 2 Diabetes Save
- The Role of Physical Activity in Predicting Nocturnal Hypoglycemia in Individuals with Type 2 Diabetes Mellitus Save
- Biases in Glucose Metrics are Directly Related to Low Coverage of Continuous Glucose Monitoring Save
- Personalized Forecasting of Glycemic Control in Type 1 and 2 Diabetes Using Foundational AI and Machine Learning Models Save
- Forudsigelse af effekt af CGM hos insulinbehandlede personer T2D Save
- AI-based clinical prediction model for early infectious disease classification in the emergency department Save
- Understanding insulin dose deviations in people with type 2 diabetes receiving telemonitoring Save
- Prediction of People With Type 2 Diabetes Not Achieving HbA1c Target After Initiation of Fast-Acting Insulin Therapy: Using Machine Learning Framework on Clinical Trial Data Save
- Assessing the Accuracy of Continuous Glucose Monitoring Metrics Save