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Jul 18, 2021 (publication date) through Apr 9, 2026
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World Journal of Transplantation
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2220-3230
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| Seyahi N, Ozcan SG. Artificial intelligence and kidney transplantation. World J Transplant 2021; 11(7): 277-289 [PMID: 34316452 DOI: 10.5500/wjt.v11.i7.277] |
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| ©2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA | |
| For: | Seyahi N, Ozcan SG. Artificial intelligence and kidney transplantation. World J Transplant 2021; 11(7): 277-289 [PMID: 34316452 DOI: 10.5500/wjt.v11.i7.277] |
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| URL: | https://www.wjgnet.com/2220-3230/full/v11/i7/277.htm |
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Shiva Arjmandmazidi, Hamid Reza Heidari, Tohid Ghasemnejad, Zeinab Mori, Leila Molavi, Amir Meraji, Shadi Kaghazchi, Elnaz Mehdizadeh Aghdam, Soheila Montazersaheb. An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation. Journal of Translational Medicine 2025; 23(1) doi: 10.1186/s12967-025-06488-1
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Laura R. Wingfield, Katie Wainwright, Simon Knight, Helena Webb. Testing Software and Systems. Lecture Notes in Computer Science 2025; 15383: 193 doi: 10.1007/978-3-031-80889-0_14
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Guodong Chen. Application of Artificial Intelligence in Kidney Transplantation. Organ Medicine 2025; 2(3): 121 doi: 10.1002/orm2.70015
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Nicolás Lozano-Suarez, Julia Andrea Gomez-Montero, Maritza Jiménez-Gómez, Santiago Cabas, Nicolás Giron-Londoño, Andrea García-López, Fernando Giron-Luque. Bioethical challenges in the integration of artificial intelligence in transplant surgery 4.0: A scoping review. DIGITAL HEALTH 2025; 11 doi: 10.1177/20552076251351700
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Jin-Myung Kim, HyoJe Jung, Hye Eun Kwon, Youngmin Ko, Joo Hee Jung, Sung Shin, Young Hoon Kim, Young-Hak Kim, Tae Joon Jun, Hyunwook Kwon. Multimodal deep learning integration for predicting renal function outcomes in living donor kidney transplantation: a retrospective cohort study. International Journal of Surgery 2026; 112(1): 1153 doi: 10.1097/JS9.0000000000003494
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Raquel M. Quinino, Fabiana Agena, Luis Gustavo Modelli de Andrade, Mariane Furtado, Alexandre D.P. Chiavegatto Filho, Elias David-Neto. A Machine Learning Prediction Model for Immediate Graft Function After Deceased Donor Kidney Transplantation. Transplantation 2023; 107(6): 1380 doi: 10.1097/TP.0000000000004510
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Henry H. L. Wu, Naveen Kumar Parthiban, Ewa M. Goldys, Carol A. Pollock, Sonia Saad. Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?. Clinical and Experimental Nephrology 2026; doi: 10.1007/s10157-026-02827-8
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Badi Rawashdeh. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2. Artificial Intelligence 2024; 29 doi: 10.5772/intechopen.114356
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Zeineb Sassi, Sascha Eickmann, Roland Roller, Bilgin Osmanodja, Jakob Joachim Spencker, Ömer Ege Ömeroğlu, Aljoscha Burchardt, Michael Hahn, Peter Dabrock, Sebastian Möller, Klemens Budde, Anne Herrmann. Human-AI Interaction in Kidney Transplant Decision Support Systems: A Qualitative Study of Patient and Support Person Expectations (Preprint). Journal of Medical Internet Research 2025; doi: 10.2196/83195
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| 13 |
Evgenia Kotsifa, Vasileios K. Mavroeidis. Present and Future Applications of Artificial Intelligence in Kidney Transplantation. Journal of Clinical Medicine 2024; 13(19): 5939 doi: 10.3390/jcm13195939
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| 14 |
Nelson Lyngdoh, Monali Gulhane, Fazil Sheikh, Abhishek Madankar, Swapna Ajay Shedge, Nitin Rakesh, Akhil Gupta. Machine Learning Techniques for Predicting Organ Transplant Rejection. 2025 6th International Conference for Emerging Technology (INCET) 2025; : 1 doi: 10.1109/INCET64471.2025.11140942
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| 15 |
Ahmed Anber, Youssef Mohamed, Aryan Maleki, Sami Atiq , Larisa Radu, Ibrahim Omar, Abdelrahman Sayed. Artificial Intelligence in Renal Transplantation Over the Past Decade: A Narrative Review of Clinical Applications, Current Limitations, and Future Directions. Cureus 2025; doi: 10.7759/cureus.100134
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| 16 |
Yuhui He, Wenting Sun, Yisen Deng, Zhenshan Ding, Changyu Ma, Shuzhan Sun, Ying Zhao, Jianfeng Wang. Construction of a deep learning-based predictive model for delayed graft function in kidney transplantation. Current Urology 2026; doi: 10.1097/CU9.0000000000000336
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| 17 |
Badi Rawashdeh, Haneen Al-Abdallat, Rawan Hamamreh, Beje Thomas, Emre Arpali, Cooper Matthew, Ty Dunn. Artificial Intelligence in Kidney Transplantation: A Comprehensive Scientometric Analysis. Current Transplantation Reports 2024; 11(4): 177 doi: 10.1007/s40472-024-00447-3
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| 18 |
Eva Carlsson, Markus Gäbel, Niclas Kvarnström, Maria K. Svensson. Preserved Kidney Function and Renal Recovery in Living Kidney Donors. Transplantation Proceedings 2025; 57(8): 1472 doi: 10.1016/j.transproceed.2025.07.031
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| 19 |
Rachel C. Forbes, Beatrice P. Concepcion. Left digit bias in donor organ acceptance: what can we do to make it right?. The American Journal of Surgery 2022; 224(4): 1103 doi: 10.1016/j.amjsurg.2022.05.039
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| 20 |
Kannan Sridharan, Shamik Shah. Developing supervised machine learning algorithms to evaluate the therapeutic effect and laboratory-related adverse events of cyclosporine and tacrolimus in renal transplants. International Journal of Clinical Pharmacy 2023; 45(3): 659 doi: 10.1007/s11096-023-01545-5
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| 21 |
Ekamol Tantisattamo, Antoney J. Ferrey, Uttam G. Reddy, Fatima T. Malik, Man Kit Michael Siu, Fawaz Al Ammary, Wei Ling Lau. A paradigm shift from office to home-based blood pressure measurement approaches in kidney transplant recipients. Current Opinion in Nephrology & Hypertension 2024; 33(1): 67 doi: 10.1097/MNH.0000000000000951
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| 22 |
Kirolos Eskandar. Artificial intelligence in nephrology: revolutionizing diagnosis, treatment, and patient care. KIDNEYS 2024; 13(3): 213 doi: 10.22141/2307-1257.13.3.2024.466
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| 23 |
Tanja Belčič Mikič, Miha Arnol. The Use of Machine Learning in the Diagnosis of Kidney Allograft Rejection: Current Knowledge and Applications. Diagnostics 2024; 14(22): 2482 doi: 10.3390/diagnostics14222482
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| 24 |
Nahed Alowidi, Razan Ali, Munera Sadaqah, Fatmah M. A. Naemi. Advancing Kidney Transplantation: A Machine Learning Approach to Enhance Donor–Recipient Matching. Diagnostics 2024; 14(19): 2119 doi: 10.3390/diagnostics14192119
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| 25 |
Tushar Bajaj, Jay L. Koyner. Artificial Intelligence in Acute Kidney Injury Prediction. Advances in Chronic Kidney Disease 2022; 29(5): 450 doi: 10.1053/j.ackd.2022.07.009
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| 26 |
Aleena Jamal, Som Singh, Fawad Qureshi. Synthetic data as an investigative tool in hypertension and renal diseases research. World Journal of Methodology 2025; 15(1): 98626 doi: 10.5662/wjm.v15.i1.98626
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Junseok Jeon, Jae Yong Yu, Yeejun Song, Weon Jung, Kyungho Lee, Jung Eun Lee, Wooseong Huh, Won Chul Cha, Hye Ryoun Jang. Prediction tool for renal adaptation after living kidney donation using interpretable machine learning. Frontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1222973
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| 28 |
Ekamol Tantisattamo, Umberto Maggiore. Revisiting pre-transplant preparation to optimize long-term kidney transplant outcomes. Journal of Nephrology 2024; 37(6): 1425 doi: 10.1007/s40620-024-02108-1
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Tu T. Tran, Giae Yun, Sejoong Kim. Artificial intelligence and predictive models for early detection of acute kidney injury: transforming clinical practice. BMC Nephrology 2024; 25(1) doi: 10.1186/s12882-024-03793-7
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