ReviewTransplant international : official journal of the European Society for Organ Transplantation2022
Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.
Review in Transplant international : official journal of the European Society for Organ Transplantation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Donor after circulatory death in pancreas transplantation: a scoping review of the literature.Frontiers in transplantation · 2025Pooled it
- Recommendations From the Implementation Steering Group for Organ Utilisation Histocompatibility and Immunogenetics Sub-Group: ISOU H&I Sub-Group Recommendations.International journal of immunogenetics · 2026Review
- Early Implications for Solid Organ Transplantation With the Use of Artificial Intelligence From a Bibliometric Perspective.Mayo Clinic proceedings. Digital health · 2026Review
- Clinical Artificial Intelligence Agents in Nephrology: From Prediction to Action Through Workflow-Native Intelligence-A Roadmap for Workflow-Integrated Care.Journal of clinical medicine · 2026Review
- Mapping International Collaboration and Research Trends in Artificial Intelligence Applications for Liver and Kidney Transplantation.Journal of transplantation · 2026Article
- Shaping the Future of AI in Organ Transplantation: Position Paper of the European Society for Organ Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2026Article
- AI-generated explanations in kidney transplantation: accuracy vs. readability and implications for patient education.Frontiers in artificial intelligence · 2026Article
- Article
- Ethics and Algorithms to Navigate AI's Emerging Role in Organ Transplantation.Journal of clinical medicine · 2025Review
- Evolving Transplant Oncology: Evolving Criteria for Better Decision-Making.Diagnostics (Basel, Switzerland) · 2025Review
- Artificial Intelligence in Nephrology: Clinical Applications and Challenges.Kidney medicine · 2025Review
- Smart transplants: emerging role of nanotechnology and big data in kidney and islet transplantation, a frontier in precision medicine.Frontiers in immunology · 2025Review
- A Brief Review of Artificial Intelligence in Living Kidney Donation.Transplant international : official journal of the European Society for Organ Transplantation · 2025Review
- Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Review
- Cardiac Xenotransplantation: A Narrative Review.Reviews in cardiovascular medicine · 2024Review
- Towards new frontiers of healthcare systems research using artificial intelligence and generative AI.Health systems (Basingstoke, England) · 2024Article
- Role of Complement-dependent Cytotoxicity Crossmatch and HLA Typing in Solid Organ Transplant.Reviews on recent clinical trials · 2024Review
- Smart match: revolutionizing organ allocation through artificial intelligence.Frontiers in artificial intelligence · 2024Review
- Should AI allocate livers for transplant? Public attitudes and ethical considerations.BMC medical ethics · 2023Article
- Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals.Postgraduate medical journal · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually require human intelligence. Typical examples include complex decision-making and- image or speech analysis. AI application in healthcare is rapidly evolving and it undoubtedly holds an enormous potential for the field of solid organ transplantation. In this review, we provide an overview of AI-based approaches in solid organ transplantation. Particularly, we identified four key areas of transplantation which could be facilitated by AI: organ allocation and donor-recipient pairing, transplant oncology, real-time immunosuppression regimes, and precision transplant pathology. The potential implementations are vast-from improved allocation algorithms, smart donor-recipient matching and dynamic adaptation of immunosuppression to automated analysis of transplant pathology. We are convinced that we are at the beginning of a new digital era in transplantation, and that AI has the potential to improve graft and patient survival. This manuscript provides a glimpse into how AI innovations could shape an exciting future for the transplantation community.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.