Literature DB >> 31818386

School of Block-Review of Blockchain for the Radiologists.

Selwan Abdullah1, Steven Rothenberg2, Eliot Siegel3, Woojin Kim4.   

Abstract

Blockchain, the underlying technology for Bitcoin, is a distributed digital ledger technology that enables record verification by many independent parties rather than a centralized authority, therefore making it more difficult to tamper with the data. This emerging technology has the potential to enhance various authentication and verification processes in image sharing and data security. It has the potential to promote patient-centered healthcare by giving greater control to patients over their own data. Blockchain can also be utilized for administrative tasks, such as credentialing, claims adjudication, and billing management. It can also be utilized to enhance software supporting research and clinical trials. Blockchain complements artificial intelligence (AI) and these can work synergistically to create better solutions. Although many challenges exist for increased adoption of blockchain within radiology and healthcare in general, it can play a major role in our practice and consequently, it is important for medical imaging professionals to become familiar with the technology.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Bitcoin; Blockchain; Ethereum; Machine learning; Radiology

Year:  2020        PMID: 31818386     DOI: 10.1016/j.acra.2019.06.025

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  3 in total

Review 1.  Blockchain in radiology research and clinical practice: current trends and future directions.

Authors:  Alberto Stefano Tagliafico; Cristina Campi; Bignotti Bianca; Chandra Bortolotto; Duccio Buccicardi; Coppola Francesca; Roberto Prost; Marco Rengo; Lorenzo Faggioni
Journal:  Radiol Med       Date:  2022-02-23       Impact factor: 3.469

2.  Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis.

Authors:  Satish Kumar; Weng Marc Lim; Uthayasankar Sivarajah; Jaspreet Kaur
Journal:  Inf Syst Front       Date:  2022-04-12       Impact factor: 5.261

3.  ESR white paper: blockchain and medical imaging.

Authors: 
Journal:  Insights Imaging       Date:  2021-06-22
  3 in total

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