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2025
Mark Cohort study of prediction of venous thromboembolism in emergency department patients with extremity symptoms
Gottsäter, Anders ^LU ; Ekelund, Ulf ^LU ; Melander, Olle ^LU ; Björkelund, Anders ^LU and Ohlsson, Bodil ^LU (2025) In Internal and Emergency Medicine 20. p.865-875
- Contribution to journal › Article
Mark Transfer learning for predicting acute myocardial infarction using electrocardiograms
Nyström, Axel ^LU ; Björkelund, Anders ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Ekelund, Ulf ^LU and Lundager Forberg, Jakob ^LU (2025) In PLOS Digital Health 4(10). p.0001058-0001058
- Contribution to journal › Article
Mark Making Sense of Medical AI : AI transparency and the configuration of expertise
Högberg, Charlotte ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Schubert, Alexander Marcel ; Lingman, Markus and Khoshnood, Ardavan M. ^LU (2025) In International Journal of Medical Informatics 202(October 2025).
- Contribution to journal › Article
2024
Mark Stabilizing Translucencies : Governing AI transparency by standardization
Högberg, Charlotte ^LU (2024) In Big Data and Society 11(1).
- Contribution to journal › Article
Mark Prevalence and prognostic value of electrocardiographic abnormalities in hypokalemia: A multicenter cohort study
Kildegaard Jensen, Helene ; Brabrand, Mikkel ; Lundager Forberg, Jakob ^LU ; Platonov, Pyotr ^LU ; Lassen, Annmarie Touborg and Ekelund, Ulf ^LU (2024) In Journal of Internal Medicine 295(4). p.544-556
- Contribution to journal › Article
Mark Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
Nyström, Axel ^LU ; Olsson de Capretz, Pontus ^LU ; Björkelund, Anders ^LU ; Lundager Forberg, Jakob ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU and Ekelund, Ulf ^LU (2024) In Journal of Electrocardiology 82. p.42-51
- Contribution to journal › Article
Mark Engaging with artificial intelligence in Mammography Screening : Swedish breast radiologists’ views on trust, information and expertise
Högberg, Charlotte ^LU ; Larsson, Stefan ^LU and Lång, Kristina ^LU (2024) In Digital Health 10. p.1-13
- Contribution to journal › Article
Mark The skåne emergency medicine (SEM) cohort
Ekelund, Ulf ^LU ; Ohlsson, Bodil ^LU ; Melander, Olle ^LU ; Björk, Jonas ^LU ; Ohlsson, Mattias ^LU ; Forberg, Jakob Lundager ^LU ; de Capretz, Pontus Olsson ^LU ; Nyström, Axel ^LU and Björkelund, Anders ^LU (2024) In Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 32. p.1-8
- Contribution to journal › Article
Mark A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
Heyman, Ellen T. ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2024) In PLoS ONE 19(12).
- Contribution to journal › Article

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