An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation
Abstract Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine through the use of advanced computational tools. Its ability to analyze large and complex datasets enables a thorough evaluation of multiple factors, leading to a deeper understanding of medi...
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| Format: | Article |
| Language: | English |
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BMC
2025-06-01
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| Series: | Journal of Translational Medicine |
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| Online Access: | https://doi.org/10.1186/s12967-025-06488-1 |
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| author | Shiva Arjmandmazidi Hamid Reza Heidari Tohid Ghasemnejad Zeinab Mori Leila Molavi Amir Meraji Shadi Kaghazchi Elnaz Mehdizadeh Aghdam Soheila Montazersaheb |
| author_facet | Shiva Arjmandmazidi Hamid Reza Heidari Tohid Ghasemnejad Zeinab Mori Leila Molavi Amir Meraji Shadi Kaghazchi Elnaz Mehdizadeh Aghdam Soheila Montazersaheb |
| author_sort | Shiva Arjmandmazidi |
| collection | DOAJ |
| description | Abstract Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine through the use of advanced computational tools. Its ability to analyze large and complex datasets enables a thorough evaluation of multiple factors, leading to a deeper understanding of medical procedures. Numerous studies have demonstrated that AI has made significant advancements in areas such as organ allocation, donor-recipient matching, and immunosuppression protocols in organ transplantation. The transplantation process consists of three key stages: pre-transplant evaluation, the surgical procedure, and post-transplant management. AI can enhance all three stages by analyzing and integrating data from histopathological reports, lab results, radiological features, and patient demographics to aid in matching donors and recipients. Additionally, AI supports robotic-assisted surgery and optimizes post-transplant regimens while evaluating complications. Various researches have utilized machine learning (ML) to predict medication bioavailability immediately after transplantation and assess the risk of post-transplant complications based on factors like genetic phenotypes, age, gender, and body mass index. This review aims to gather information on AI applications across various stages of organ transplantation and elaborate the strategies and tools relevant to these processes. Graphical Abstract |
| format | Article |
| id | doaj-art-9a6ae54d1b8b48c78e5c78bf766c31d8 |
| institution | OA Journals |
| issn | 1479-5876 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj-art-9a6ae54d1b8b48c78e5c78bf766c31d82025-08-20T02:10:38ZengBMCJournal of Translational Medicine1479-58762025-06-0123113010.1186/s12967-025-06488-1An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantationShiva Arjmandmazidi0Hamid Reza Heidari1Tohid Ghasemnejad2Zeinab Mori3Leila Molavi4Amir Meraji5Shadi Kaghazchi6Elnaz Mehdizadeh Aghdam7Soheila Montazersaheb8Molecular Medicine Research Center, Tabriz University of Medical SciencesMolecular Medicine Research Center, Tabriz University of Medical SciencesUNSW BioMedical Machine Learning Lab (BML), School of Biomedical Engineering, UNSW SydneyMolecular Medicine Research Center, Tabriz University of Medical SciencesMolecular Medicine Research Center, Tabriz University of Medical SciencesMolecular Medicine Research Center, Tabriz University of Medical SciencesWomen’s Reproductive Health Research Center, Tabriz University of Medical SciencesMolecular Medicine Research Center, Tabriz University of Medical SciencesMolecular Medicine Research Center, Tabriz University of Medical SciencesAbstract Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine through the use of advanced computational tools. Its ability to analyze large and complex datasets enables a thorough evaluation of multiple factors, leading to a deeper understanding of medical procedures. Numerous studies have demonstrated that AI has made significant advancements in areas such as organ allocation, donor-recipient matching, and immunosuppression protocols in organ transplantation. The transplantation process consists of three key stages: pre-transplant evaluation, the surgical procedure, and post-transplant management. AI can enhance all three stages by analyzing and integrating data from histopathological reports, lab results, radiological features, and patient demographics to aid in matching donors and recipients. Additionally, AI supports robotic-assisted surgery and optimizes post-transplant regimens while evaluating complications. Various researches have utilized machine learning (ML) to predict medication bioavailability immediately after transplantation and assess the risk of post-transplant complications based on factors like genetic phenotypes, age, gender, and body mass index. This review aims to gather information on AI applications across various stages of organ transplantation and elaborate the strategies and tools relevant to these processes. Graphical Abstracthttps://doi.org/10.1186/s12967-025-06488-1Artificial intelligenceNeural networksDeep learningEnsemble methodsMachine learningOrgan transplantation |
| spellingShingle | 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 Artificial intelligence Neural networks Deep learning Ensemble methods Machine learning Organ transplantation |
| title | An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation |
| title_full | An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation |
| title_fullStr | An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation |
| title_full_unstemmed | An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation |
| title_short | An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation |
| title_sort | in depth overview of artificial intelligence ai tool utilization across diverse phases of organ transplantation |
| topic | Artificial intelligence Neural networks Deep learning Ensemble methods Machine learning Organ transplantation |
| url | https://doi.org/10.1186/s12967-025-06488-1 |
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