Evidence map›Paper›PMID 42433259›Full record

ArticleFrontiers in transplantation2026

Third annual transplant AI symposium: from organ matching to digital twins.

Devina Ramesh, Praveen Manickavel, Aman Sidhu, Walter K Kremers, Girish Mour, Robert C Huebert, Joseph Ahn, Mamatha Bhat

Abstract read
In one paragraph

Article in Frontiers in transplantation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Devina Ramesh *Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
Praveen Manickavel *Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
Aman SidhuDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Walter K KremersLead Statistician at Mayo Clinic's Department of Quantitative Health Sciences and Associate Professor of Biostatistics Rochester, MN, United States.
Girish MourDepartment of Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, AZ, United States.
Robert C HuebertWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
Joseph AhnWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
Mamatha BhatTransplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ajmera Transplant Center and Mayo Clinic hosted the third annual Transplant Artificial Intelligence (AI) Symposium in Toronto, Canada, bringing together expert clinicians, researchers, scientists, and trainees to discuss the current role of AI in transplant medicine. This paper summarizes the third annual Transplant AI Symposium proceedings and talks. Presentations covered a wide range of topics across the transplant continuum, highlighting numerous benefits of AI in transplantation such as organ matching, human-AI collaboration, and survival/risk prediction. Artificial intelligence is most useful when linked to specific clinical problems, especially those involving multimodal or longitudinal data. However, speakers also emphasized ongoing limitations in data quality, generalizability, workflow integration, and fairness. Multiple presentations highlighted the importance of clinician oversight. Overall, the symposium highlighted that the future of transplant AI will depend on careful validation, clinically meaningful implementation, and attention to patient outcomes (Figure 1).

Indexed as

AITAI symposiumtransplanttransplant artificial intelligencetransplant medicine

Identifiers

PMID42433259
PMCPMC13350494

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.