Dr Amir Kamel Rahimi
Specialist AI Software Engineer
Centre for Health Services Research
Journal Articles
Salimimoghadam, Shadi, Ghanbaripour, Amir Naser, Tumpa, Roksana Jahan, Kamel Rahimi, Amir, Golmoradi, Mehdi, Rashidian, Sara and Skitmore, Martin (2025). The Rise of Artificial Intelligence in Project Management: A Systematic Literature Review of Current Opportunities, Enablers, and Barriers. Buildings, 15 (7) 1130, 1130. doi: 10.3390/buildings15071130
Kamel Rahimi, Amir, Pienaar, Oliver, Ghadimi, Moji, Canfell, Oliver J., Pole, Jason D., Shrapnel, Sally, van der Vegt, Anton H. and Sullivan, Clair (2024). Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research, 26 e49655, 1-29. doi: 10.2196/49655
Kamel Rahimi, Amir, Ghadimi, Moji, van der Vegt, Anton H., Canfell, Oliver J., Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2023). Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making, 23 (1) 207, 1-14. doi: 10.1186/s12911-023-02306-0
Wainstein, Marina, Spyrison, Nicholas, Dai, Danyang, Ghadimi, Moji, Chavez-Iniquez, Jonathan Samuel, Rizo Topete, Lilia María, Citarella, Barbara Wanjiru, Merson, Laura, Pole, Jason, Claure-Del Granado, Rolando, Johnson, David W., Shrapnel, Sally, Abdukahil, heryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Acker, Andrew, Adachi, Shingo, Adrião, Diana, Al Ageel, Saleh, Ahmed, Shakeel, Ainscough, Kate, Airlangga, Eka, Aisa, Tharwat, Hssain, Ali Ait, Tamlihat, Younes Ait, Akimoto, Takako ... ISARIC Characterization Group (2023). Association of country income level with the characteristics and outcomes of critically ill patients hospitalized with acute kidney injury and COVID-19. Kidney International Reports, 8 (8), 1514-1530. doi: 10.1016/j.ekir.2023.05.015
Kamel Rahimi, Amir, Canfell, Oliver J., Chan, Wilkin, Sly, Benjamin, Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2022). Machine learning models for diabetes management in acute care using electronic medical records: a systematic review. International Journal of Medical Informatics, 162 104758, 1-13. doi: 10.1016/j.ijmedinf.2022.104758
Lim, Han Chang, Austin, Jodie A., van der Vegt, Anton H., Rahimi, Amir Kamel, Canfell, Oliver J., Mifsud, Jayden, Pole, Jason D., Barras, Michael A., Hodgson, Tobias, Shrapnel, Sally and Sullivan, Clair M. (2022). Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital. Applied Clinical Informatics, 13 (02), 339-354. doi: 10.1055/s-0042-1743243
Conference Paper
Wainstein, Marina, Edward, Eleanor, Spyrison, Nicholas, Rahimi, Amir Kamel, Ghadimi, Moji, Johnson, David and Shrapnel, Sally (2024). Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset. ISN World Congress of Nephrology (WCN) 2024, Buenos Aires, Argentina, 13-16 April 2024. New York, NY United States: Elsevier. doi: 10.1016/j.ekir.2024.02.537
Thesis
Kamel Rahimi, Amir (2025). Artificial intelligence to improve clinical outcomes in hospitals. PhD Thesis, Faculty of Medicine, The University of Queensland. doi: 10.14264/e0ee10e