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
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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).
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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.
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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.
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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.
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Amirahmadi, Ali; Ohlsson, Mattias; Etminani, Kobra (2023). Deep learning prediction models based on EHR trajectories : A systematic review. Journal of Biomedical Informatics, 144.
- Article in journal
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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.
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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).
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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).
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Rajabi, Enayat; Etminani, Kobra (2024). Knowledge-graph-based explainable AI : A systematic review. Journal of information science, 50 (4), pp. 1019 - 1029.
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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.
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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.
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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.
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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
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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.
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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.
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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).
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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).
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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.
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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.
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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.
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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).
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Gama, Fábio; Tyskbo, Daniel; Nygren, Jens M.; Barlow, James; Reed, Julie; Svedberg, Petra (2022). Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice : Scoping Review. Journal of Medical Internet Research, 24 (1).
- Conference paper
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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.
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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.
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