Publications

Below are the latest publications that have been registered in DiVA (the University’s digital scientific archive) linked to CAISR Health, including book chapters, journal articles and conference contributions.

  • Article, review/survey
  • Petersson, Lena (2025).
    Transformative Impact of the Internet on the Boundaries for the Physician Profession : Why Materiality Matters. Journal of Medical Internet Research, 27 (1).

    View record in DiVA DOI: 10.2196/63305

  • Reed, Julie; Svedberg, Petra; Nygren, Jens M. (2025).
    Enhancing the Innovation Ecosystem : Overcoming Challenges to Introducing Information-Driven Technologies in Health Care. Journal of Medical Internet Research, 27, pp. 1 - 11.

    View record in DiVA DOI: 10.2196/56836

  • Siira, Elin; Johansson, Hanna; Nygren, Jens M. (2025).
    Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage : Scoping Review. Journal of Medical Internet Research, 27, pp. 1 - 17.

    View record in DiVA DOI: 10.2196/53741

  • Auf, Hassan; Svedberg, Petra; Nygren, Jens M.; Nair, Monika; Lundgren, Lina (2025).
    The Use of AI in Mental Health Services to Support Decision-Making : Scoping Review. Journal of Medical Internet Research, 27.

    View record in DiVA DOI: 10.2196/63548

  • Nair, Monika; Svedberg, Petra; Larsson, Ingrid; Nygren, Jens M. (2024).
    A comprehensive overview of barriers and strategies for AI implementation in healthcare : Mixed-method design. PLOS ONE, 19 (8).

    View record in DiVA DOI: 10.1371/journal.pone.0305949

  • Budu, Emmanuella; Etminani, Farzaneh; Soliman, Amira; Rögnvaldsson, Thorsteinn (2024).
    Evaluation of synthetic electronic health records : A systematic review and experimental assessment. Neurocomputing, 603, pp. 1 - 21.

    View record in DiVA DOI: 10.1016/j.neucom.2024.128253

  • Nilsen, Per; Sundemo, David; Heintz, Fredrik; Neher, Margit; Nygren, Jens M.; Svedberg, Petra; Petersson, Lena (2024).
    Towards evidence-based practice 2.0 : leveraging artificial intelligence in healthcare. Frontiers in Health Services, 4.

    View record in DiVA DOI: 10.3389/frhs.2024.1368030

  • Oss Boll, Heloísa; Amirahmadi, Ali; Ghazani, Mirfarid Musavian; Ourique de Morais, Wagner; Pignaton de Freitas, Edison; Soliman, Amira; Etminani, Farzaneh; Byttner, Stefan; Recamonde-Mendoza, Mariana (2024).
    Graph neural networks for clinical risk prediction based on electronic health records : A survey. Journal of Biomedical Informatics, 151.

    View record in DiVA DOI: 10.1016/j.jbi.2024.104616

  • Steerling, Emilie; Siira, Elin; Nilsen, Per; Svedberg, Petra; Nygren, Jens M. (2023).
    Implementing AI in healthcare—the relevance of trust : a scoping review. Frontiers in Health Services, 3.

    View record in DiVA DOI: 10.3389/frhs.2023.1211150

  • Amirahmadi, Ali; Ohlsson, Mattias; Etminani, Kobra (2023).
    Deep learning prediction models based on EHR trajectories : A systematic review. Journal of Biomedical Informatics, 144.

    View record in DiVA DOI: 10.1016/j.jbi.2023.104430

  • Steerling, Emilie; Houston, Rebecca; Gietzen, Luke J; Ogilvie, Sarah J; de Ruiter, Hans-Peter; Nygren, Jens M. (2022).
    Examining how Ethics in Relation to Health Technology is Described in the Research Literature : Scoping Review. Interactive Journal of Medical Research, 11 (2), pp. 1 - 10.

    View record in DiVA DOI: 10.2196/38745

  • Article in journal
  • Amirahmadi, Ali; Etminani, Farzaneh; Ohlsson, Mattias (2025).
    Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical data. Frontiers in Artificial Intelligence, 8, pp. 1 - 12.

    View record in DiVA DOI: 10.3389/frai.2025.1663484

  • Petersson, Lena; Ahlborg, Mikael; Häggström Westberg, Katrin (2025).
    “I Believe That AI Will Recognize the Problem Before It Happens” : Qualitative Study Exploring Young Adults’ Perceptions of AI in Mental Health Care. JMIR Mental Health, 12, pp. 1 - 12.

    View record in DiVA DOI: 10.2196/76973

  • Irestig, Anna; Tyskbo, Daniel; Larsson, Ingrid; Svedberg, Petra; Siira, Elin (2025).
    Healthcare Professionals' Perceptions of Person-Centred Care in Wound Management in Swedish Primary Care Services : A Qualitative Study. Scandinavian Journal of Caring Sciences, 39 (3), pp. 1 - 11.

    View record in DiVA DOI: 10.1111/scs.70082

  • Nair, Monika; Nygren, Jens M.; Nilsen, Per; Gama, Fábio; Neher, Margit; Larsson, Ingrid; Svedberg, Petra (2025).
    Critical activities for successful implementation and adoption of AI in healthcare : towards a process framework for healthcare organizations. Frontiers in Digital Health, 7.

    View record in DiVA DOI: 10.3389/fdgth.2025.1550459

  • Steerling, Emilie; Svedberg, Petra; Nilsen, Per; Siira, Elin; Nygren, Jens M. (2025).
    Influences on trust in the use of AI-based triage—an interview study with primary healthcare professionals and patients in Sweden. Frontiers in Digital Health, 7.

    View record in DiVA DOI: 10.3389/fdgth.2025.1565080

  • Karnehed, Sara; Larsson, Ingrid; Petersson, Lena; Erlandsson, Lena-Karin; Tyskbo, Daniel (2025).
    Navigating artificial intelligence in home healthcare : challenges and opportunities in nursing wound care. BMC Nursing, 24 (1).

    View record in DiVA DOI: 10.1186/s12912-025-03348-7

  • Larsson, Ingrid; Svedberg, Petra; Nygren, Jens M.; Petersson, Lena (2025).
    Healthcare leaders' perceptions of the contribution of artificial intelligence to person-centred care : An interview study. Scandinavian Journal of Public Health, 53 (Suppl. 1), pp. 72 - 80.

    View record in DiVA DOI: 10.1177/14034948241307112

  • Häggström Westberg, Katrin; Cerna, Katerina; Ahlborg, Mikael G; Malmborg, Julia S; Svedberg, Petra; Petersson, Lena (2025).
    Next stop - mental health : a qualitative study of healthcare journeys from the perspective of young adults in Sweden. BMC Health Services Research, 25 (1), pp. 1 - 12.

    View record in DiVA DOI: 10.1186/s12913-025-12510-5

  • Auf, Hassan; Lundgren, Lina; Nygren, Jens M.; Petersson, Lena; Svedberg, Petra (2025).
    Healthcare professionals’ perspectives on AI-driven decision support in young adult mental health : An analysis through the lens of a shared decision-making framework. Frontiers in Digital Health, 7, pp. 1 - 13.

    View record in DiVA DOI: 10.3389/fdgth.2025.1588759

  • Tyskbo, Daniel; Nygren, Jens M. (2024).
    Reconfiguration of uncertainty : Introducing AI for prediction of mortality at the emergency department. Social Science and Medicine, 359, pp. 1 - 13.

    View record in DiVA DOI: 10.1016/j.socscimed.2024.117298

  • Siira, Elin; Tyskbo, Daniel; Nygren, Jens M. (2024).
    Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care : an interview study. BMC Primary Care, 25 (1).

    View record in DiVA DOI: 10.1186/s12875-024-02516-z

  • Nair, Monika; Lundgren, Lina E; Soliman, Amira; Dryselius, Petra; Fogelberg, Ebba; Petersson, Marcus; Hamed, Omar; Triantafyllou, Miltiadis; Nygren, Jens M. (2024).
    Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records : Protocol for a Quasi-Experimental Study for Impact Assessment. JMIR Research Protocols, 13 (1).

    View record in DiVA DOI: 10.2196/52744

  • Etminani, Farzaneh; Sandgren, Emma; Holm, Johan; Magnusson, Peter; Modica, Angelo; Moberg, Karin; Davidsson, Thomas; Stalpe, Linda; Kiflemariam, Sara; Younan, Ninia; Parikh, Purvee; Wadhwa, Manish; Sundin, Anna; Engdahl, Johan (2024).
    Randomised, siteless study to compare systematic atrial fibrillation screening using enrichment by a risk prediction model with standard care in a Swedish population aged ≥ 65 years : CONSIDERING-AF study design. BMJ Open, 14 (1).

    View record in DiVA DOI: 10.1136/bmjopen-2023-080639

  • Rajabi, Enayat; Etminani, Kobra (2024).
    Knowledge-graph-based explainable AI : A systematic review. Journal of information science, 50 (4), pp. 1019 - 1029.

    View record in DiVA DOI: 10.1177/01655515221112844

  • Nilsen, Per; Svedberg, Petra; Neher, Margit; Nair, Monika; Larsson, Ingrid; Petersson, Lena; Nygren, Jens M. (2023).
    A Framework to Guide Implementation of AI in Health Care : Protocol for a Cocreation Research Project. JMIR Research Protocols, 12.

    View record in DiVA DOI: 10.2196/50216

  • Soliman, Amira; Agvall, Björn; Etminani, Kobra; Hamed, Omar; Lingman, Markus (2023).
    The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure : Retrospective, Comparative, Machine Learning Study. Journal of Medical Internet Research, 25.

    View record in DiVA DOI: 10.2196/46934

  • Petersson, Lena; Vincent, Kalista; Svedberg, Petra; Nygren, Jens M.; Larsson, Ingrid (2023).
    Ethical considerations in implementing AI for mortality prediction in the emergency department : Linking theory and practice. Digital Health, 9.

    View record in DiVA DOI: 10.1177/20552076231206588

  • Gkouskos, Dimitrios; Lindberg, Susanne; Weberg, Oliver (2023).
    Exploring Digital Self-Triage Design in Healthcare Center Smartphone Applications for Anxiety : A Design Critique. International Journal of Design in Society, 17 (2), pp. 17 - 42.

    View record in DiVA DOI: 10.18848/2325-1328/cgp/v17i02/17-42

  • Nair, Monika; Andersson, Jonas; Nygren, Jens M.; Lundgren, Lina E. (2023).
    Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure : Stakeholder Interviews. JMIR Formative Research, 7.

    View record in DiVA DOI: 10.2196/47335

  • Neher, Margit; Petersson, Lena; Nygren, Jens M.; Svedberg, Petra; Larsson, Ingrid; Nilsen, Per (2023).
    Innovation in healthcare : leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications, 4.

    View record in DiVA DOI: 10.1186/s43058-023-00458-8

  • Agvall, Björn; Ashfaq, Awais; Bjurström, Karl; Etminani, Kobra; Friberg, Lovisa; Lidén, Johanna; Lingman, Markus (2023).
    Characteristics, management and outcomes in patients with CKD in a healthcare region in Sweden : a population-based, observational study. BMJ Open, 13 (7).

    View record in DiVA DOI: 10.1136/bmjopen-2022-069313

  • Nikolentzos, Giannis; Vazirgiannis, Michalis; Xypolopoulos, Christos; Lingman, Markus; Brandt, Erik G. (2023).
    Synthetic electronic health records generated with variational graph autoencoders. npj Digital Medicine, 6 (1).

    View record in DiVA DOI: 10.1038/s41746-023-00822-x

  • Davidge, Jason; Halling, Anders; Ashfaq, Awais; Etminani, Kobra; Agvall, Björn (2023).
    Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study. International Journal of Cardiology Cardiovascular Risk and Prevention, 16.

    View record in DiVA DOI: 10.1016/j.ijcrp.2023.200176

  • Alavijeh, Soroush Zamani; Zarrinkalam, Fattane; Noorian, Zeinab; Mehrpour, Anahita; Etminani, Kobra (2023).
    What users’ musical preference on Twitter reveals about psychological disorders. Information Processing & Management, 60 (3).

    View record in DiVA DOI: 10.1016/j.ipm.2023.103269

  • Sharma, Malvika; Savage, Carl; Nair, Monica; Larsson, Ingrid; Svedberg, Petra; Nygren, Jens M. (2022).
    Artificial Intelligence Applications in Health Care Practice : Scoping Review. Journal of Medical Internet Research, 24 (10).

    View record in DiVA DOI: 10.2196/40238

  • Nilsen, Per; Svedberg, Petra; Nygren, Jens M.; Frideros, Micael; Johansson, Jan; Schueller, Stephen (2022).
    Accelerating the impact of artificial intelligence in mental healthcare through implementation science. Implementation Research and Practice, 3.

    View record in DiVA DOI: 10.1177/26334895221112033

  • Nilsen, Per; Reed, Julie; Nair, Monika; Savage, Carl; Macrae, Carl; Barlow, James; Svedberg, Petra; Larsson, Ingrid; Lundgren, Lina; Nygren, Jens M. (2022).
    Realizing the potential of artificial intelligence in healthcare : Learning from intervention, innovation, implementation and improvement sciences. Frontiers in Health Services, 2.

    View record in DiVA DOI: 10.3389/frhs.2022.961475

  • Petersson, Lena; Larsson, Ingrid; Nygren, Jens M.; Nilsen, Per; Neher, Margit; Reed, Julie E.; Tyskbo, Daniel; Svedberg, Petra (2022).
    Challenges to implementing artificial intelligence in healthcare : a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research, 22.

    View record in DiVA DOI: 10.1186/s12913-022-08215-8

  • Svedberg, Petra; Reed, Julie; Nilsen, Per; Barlow, James; Macrae, Carl; Nygren, Jens M. (2022).
    Toward Successful Implementation of Artificial Intelligence in Health Care Practice : Protocol for a Research Program. JMIR Research Protocols, 11 (3).

    View record in DiVA DOI: 10.2196/34920

  • Conference paper
  • Fathy, Ghada M.; Soliman, Amira; Etminani, Farzaneh; Ohlsson, Mattias (2025).
    Leveraging Temporal Aggregation and Graph Structures to Analyze EHR Trajectories. 3rd IEEE Conference on Artificial Intelligence, CAI 2025, 5 - 7 May, 2025, Santa Clara, United States.

    View record in DiVA DOI: 10.1109/CAI64502.2025.00106

  • Vinge, Rikard; Byttner, Stefan; Lundström, Jens (2025).
    Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines. 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7–9, 2025,.

    View record in DiVA DOI: 10.1007/978-3-031-91398-3_34

  • Budu, Emmanuella; Soliman, Amira; Rögnvaldsson, Thorsteinn; Etminani, Farzaneh (2024).
    Evaluating Temporal Fidelity in Synthetic Time-series Electronic Health Records. 2nd IEEE Conference on Artificial Intelligence, CAI 2024, Singapore, Singapore, 25-27 June, 2024.

    View record in DiVA DOI: 10.1109/CAI59869.2024.00107

  • Sjöström, Jonas; Dryselius, Petra; Nygren, Jens M.; Nair, Monika; Soliman, Amira; Lundgren, Lina (2024).
    Design Principles for Machine Learning Based Clinical Decision Support Systems. 19th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024), Trollhättan, Sweden, 3-5 June, 2024.

    View record in DiVA DOI: 10.1007/978-3-031-61175-9_8

  • Budu, Emmanuella; Soliman, Amira; Etminani, Kobra; Rögnvaldsson, Thorsteinn (2023).
    A Framework for Evaluating Synthetic Electronic Health Records. 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation (MIE2023), Gothenburg, Sweden, 22-25 May, 2023.

    View record in DiVA DOI: 10.3233/SHTI230149

  • Lundström, Jens; Hashemi, Atiye Sadat; Tiwari, Prayag (2023).
    Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease. 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023, Gothenburg, 22-25 May 2023, Code 189285.

    View record in DiVA DOI: 10.3233/SHTI230214

  • Soliman, Amira; Nair, Monika; Petersson, Marcus; Lundgren, Lina; Dryselius, Petra; Fogelberg, Ebba; Hamed, Omar; Etminani, Kobra; Nygren, Jens M. (2023).
    Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients. 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023, Gothenburg, 22-25 May, 2023.

    View record in DiVA DOI: 10.3233/SHTI230204

  • Hashemi, Atiye Sadat; Soliman, Amira; Lundström, Jens; Etminani, Kobra (2023).
    Domain Knowledge-Driven Generation of Synthetic Healthcare Data. The 33rd Medical Informatics Europe Conference, MIE2023, Gothenburg, Sweden, 22-25 May, 2023.

    View record in DiVA DOI: 10.3233/SHTI230136

  • Hashemi, Atiye Sadat; Etminani, Kobra; Soliman, Amira; Hamed, Omar; Lundström, Jens (2023).
    Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. 2023 International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Queensland, Australia, 18-23 June, 2023.

    View record in DiVA DOI: 10.1109/IJCNN54540.2023.10191367

  • Hamed, Omar; Soliman, Amira; Etminani, Kobra (2023).
    Temporal Context Matters. 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023, Gothenburg, Sweden, 22-25 May, 2023.

    View record in DiVA DOI: 10.3233/SHTI230219

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