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- Elli Valla, Ain-Joonas Toose, Sven Nõmm, Aaro Toomela. Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests. I. J. Medical Informatics, 177:105152, September 2023.
- Chenchen Gao, Yucong Shen, Wenxian Xu, Yongjie Zhang, Qiongyao Tu, Xingjie Zhu, Zhongqiu Lu, Yeqin Yang. A fuzzy-set qualitative comparative analysis exploration of multiple paths to users' continuous use behavior of diabetes self-management apps. I. J. Medical Informatics, 172:105000, April 2023.
- Ruiyao Chen, Jiayuan Chen, Sen Yang, Shuqing Luo, Zhongzhou Xiao, Lu Lu, Bilin Liang, Sichen Liu, Huwei Shi, Jie Xu. Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis. I. J. Medical Informatics, 177:105151, September 2023.
- Jarne Verhaeghe, Thomas De Corte, Christopher M. Sauer, Tom Hendriks, Olivier W. M. Thijssens, Femke Ongenae, Paul W. G. Elbers, Jan J. De Waele, Sofie Van Hoecke. Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. I. J. Medical Informatics, 175:105086, July 2023.
- Elise Tessier, Michael Edelstein, Camille Tsang, Freja Kirsebom, Charlotte Gower, Colin N. J. Campbell, Mary Ramsay, Joanne White, Nick Andrews, Jamie Lopez-Bernal, Julia Stowe. Monitoring the COVID-19 immunisation programme through a national immunisation Management system - England's experience. I. J. Medical Informatics, 170:104974, 2023.
- Diana Shamsutdinova, Jayati Das-Munshi, Mark Ashworth, Angus Roberts, Daniel Stahl. Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population. I. J. Medical Informatics, 172:105019, April 2023.
- Anju Sharma, Rajnish Kumar, Prabha Garg. Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images. I. J. Medical Informatics, 177:105142, September 2023.
- Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall. Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. I. J. Medical Informatics, 171:104985, March 2023.
- Jung Yin Tsang, Benjamin Brown 0001, Niels Peek, Stephen Campbell, Thomas Blakeman. Corrigendum to "Mixed methods evaluation of a computerised audit and feedback dashboard to improve patient safety through targeting acute kidney injury (AKI) in primary care" [Int. J. Med. Inform. 145 (2021) 104299]. I. J. Medical Informatics, 175:105028, July 2023.