Evidence map›Paper›PMID 42621376›Full record

ReviewFrontiers in transplantation2026

Transforming organ donation and transplantation: challenges, innovations, and future directions.

Rachana Yogesh Patil, Yogesh H Patil

Abstract readReview
In one paragraph

Review 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

2 authors.

Rachana Yogesh PatilDepartment of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.
Yogesh H PatilDepartment of Instrumentation Engineering, D. Y. Patil College of Engineering, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ donation and transplantation has been one of the most important parts of the modern healthcare system that deals with the end-stage organ failure and enhances quality of life and patient survival. But the existing problems of donor scarcity, lack of efficiency in donors usage, mismatches in different organs, regional imbalance, logistic problems and uncoordinated data sharing system have been still a hindrance in the success of the transplantation systems and it is a critical observation of the present situation in the field of organ donation and transplantation which is justified by data analysis of the tendencies in the usage of the donors, tendencies in organ transplantation and regional differences. The paper also outlines the major challenges in the current systems and the new technologies that will be able to revolutionize the transplantation processes such as Artificial Intelligence, Blockchain, Internet of Medical Things (IoMT) and Big Data Analytics. At the same time, new technologies that would help to extend the "liveness" of organs are also carefully analysed as potential ways to simplify the choices, improve the transparency and logistics. While there are solutions to these technologies, some barriers to the technologies are interoperability, governance, ethical issues and the availability of infrastructure. Lastly, the paper provides the research directions in the future, which revolve around convergence of heterogeneous technologies, development of interoperable data ecosystems and the necessity of having equitable and patient-centered transplantation systems. Overall, this review provides an in-depth opinion of the problems, innovations, and directions that need to be introduced to transform organ donation and transplantation into a more efficient, transparent, and accessible healthcare sector on the international scale.

Indexed as

artificial intelligenceethical challengeshealthcare systemsorgan allocationorgan donationorgan transplantation

Identifiers

PMID42621376
PMCPMC13487882

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.