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Karolina Jonzén

Observed names: Jonzén Karolina, K Jonzen
ORCID: 0000-0002-5773-3622
Observed ORCID: 0000-0002-5773-3622
OpenAlex ID: A5016595054
Medtech innovation guide: an empiric model to support medical technology innovation
2022 · Thomas Mejtoft, Olof Lindahl, et al. · Health and Technology · 26
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Assessments of a novel digital follow-up tool Rehabkompassen ® to identify rehabilitation needs among stroke patients in an outpatient setting
2022 · Xiaolei Hu, Karolina Jonzén, et al. · Digital Health · 11
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How accurate is AI in detecting marginal jaw bone loss? A systematic review and meta-analysis
2025 · Huei-Min Chiang, Karolina Jonzén, et al. · Journal of Dentistry · 9
Comparison between two mobile applications measuring shoulder elevation angle–A validity and feasibility study
2021 · Fredrik Öhberg, Mårten Vänn, et al. · Medical Engineering & Physics · 9
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Digital Graphic Follow-up Tool (Rehabkompassen) for Identifying Rehabilitation Needs Among People After Stroke: Randomized Clinical Feasibility Study
2022 · Xiaolei Hu, Karolina Jonzén, et al. · JMIR Human Factors · 4
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Region-Specific Evaluation of Plaque Segmentation in Cross-sectional Projections of Carotid Ultrasound Images Using Deep Learning Models in a Sub-clinical Atherosclerosis Cohort
2026 · Arash Saboori, Marko Nygård, et al. · Ultrasound in Medicine & Biology · 1
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AI-Assisted Carotid Ultrasound for Nonexpert Use in Primary Care Cardiovascular Prevention: User-Centered Iterative Development Study
2026 · Anna Sjöström, Christer Grönlund, et al. · Journal of Medical Internet Research
Co-designing an AI-assisted carotid ultrasound method for non-expert use in primary care: The PRIMVIZA project
2026 · A Sjostrom, P Wennberg, et al. · European Journal of Preventive Cardiology
Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
2026 · Arash Saboori, Marko Nygård, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems
Mockup to facilitate the development of a medical device that detects cancer on the surface of the prostate gland
2026 · Karolina Jonzén, Göran Mannberg, et al. · BMJ Innovations
Kan en branschspecifik innovationsmodell öka ”success rate” för medicintekniska innovationer?
2019 · Thomas Mejtoft, Britt M. Andersson, et al.
Designing for diversity: A tablet-based ePRO system to assist stroke rehabilitation
2017 · Karolina Jonzén · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Works count: 12
Citation count: 60
H-index: 4
I10-index: 2
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