Evidence map›Paper›PMID 35194720›Full record

ReviewLa Radiologia medica2022

Blockchain in radiology research and clinical practice: current trends and future directions.

Alberto Stefano Tagliafico, Cristina Campi, Bignotti Bianca, Chandra Bortolotto, Duccio Buccicardi, Coppola Francesca, Roberto Prost, Marco Rengo, Lorenzo Faggioni

Abstract readReview
In one paragraph

Review in La Radiologia medica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Integrating blockchain technology with artificial intelligence for the diagnosis of tibial plateau fractures.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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  20. Gender Medicine in Clinical Radiology Practice.Journal of personalized medicine · 2023
    Review
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

9 authors.

Alberto Stefano TagliaficoIRCCS Ospedale Policlinico San Martino, Genova, Genoa, Italy. alberto.tagliafico@unige.it.ORCID http://orcid.org/0000-0003-1736-0697
Cristina CampiDipartimento Di Matematica, Università Di Genova, via Dodecaneso 35, 16146, Genova, Italy.
Bignotti BiancaIRCCS Ospedale Policlinico San Martino, Genova, Genoa, Italy.
Chandra BortolottoDipartimento Di Radiologia, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Duccio BuccicardiS.C. Radiologia P.O. Levante, ASL2 Savonese, Savona, Italy.
Coppola FrancescaDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Roberto ProstAzienda Ospedaliera Brotzu, Cagliari, Sardegna, Italy.
Marco RengoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome - I.C.O.T. Hospital, Via Franco Faggiana, 1668, 04100, Latina, Italy.
Lorenzo FaggioniDiagnostic and Interventional Radiology, University Hospital of Pisa, Via Paradisa 2, 56100, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockchain usage in healthcare, in radiology, in particular, is at its very early infancy. Only a few research applications have been tested, however, blockchain technology is widely known outside healthcare and widely adopted, especially in Finance, since 2009 at least. Learning by history, radiology is a potential ideal scenario to apply this technology. Blockchain could have the potential to increase radiological data value in both clinical and research settings for the patient digital record, radiological reports, privacy control, quantitative image analysis, cybersecurity, radiomics and artificial intelligence.Up-to-date experiences using blockchain in radiology are still limited, but radiologists should be aware of the emergence of this technology and follow its next developments. We present here the potentials of some applications of blockchain in radiology.

Indexed as

BlockchainRadiologyArtificial IntelligenceDelivery of Health CareHumansRadiologistsBlockchainImagingInformaticsRadiologyTechnology

Identifiers

PMID35194720
PMCPMC8863512

What OpenQuestion holds

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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.