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Jul 18, 2021 (publication date) through Nov 20, 2024
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Publication Name
World Journal of Transplantation
ISSN
2220-3230
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Baishideng Publishing Group Inc, 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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Covadonga Díez-Sanmartín, Antonio Sarasa Cabezuelo, Amado Andrés Belmonte. Ensemble of machine learning techniques to predict survival in kidney transplant recipients. Computers in Biology and Medicine 2024; 180: 108982 doi: 10.1016/j.compbiomed.2024.108982
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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; doi: 10.1007/s40472-024-00447-3
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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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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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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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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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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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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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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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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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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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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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Badi Rawashdeh. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2 [Working Title]. Artificial Intelligence 2024; 0 doi: 10.5772/intechopen.114356
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Zhe Yang, Minrui Zhang, Xianduo Li, Zhipeng Xu, Yi Chen, Xiaoyu Xu, Dongdong Chen, Lingquan Meng, Xiaoqing Si, Jianning Wang. Fluorescence spectroscopic profiling of urine samples for predicting kidney transplant rejection. Photodiagnosis and Photodynamic Therapy 2024; 45: 103984 doi: 10.1016/j.pdpdt.2024.103984
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Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, Sanjay Mukhopadhyay, Anant Madabhushi. The state of the art for artificial intelligence in lung digital pathology. The Journal of Pathology 2022; 257(4): 413 doi: 10.1002/path.5966
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| 17 |
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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| 18 |
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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