Honorary and Ghost Authorship

Anthony, Maureen

doi:10.1097/nhh.0000000000000208

Cited by 4 publications

(2 citation statements)

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“…Blockchain applications have the possibility to exactly track every step of radiomics and AI workflow to ensure repeatability assessment of results with an obvious spare of time and money. In addition, the use of blockchain can be used to track the readers or investigators involved in research activity and to authenticate unequivocally co-workers avoiding or at least complicating and discouraging typical research misconduct such as ghost authorship for guest authorship [38][39][40]. Furthermore, it would be possible to find records of every process of quantitative image evaluation such as ROI positioning, image selection, etc., to assess where and how a process of the research under investigation influenced the final data.…”

Section: Potential Applications Of Blockchain In Radiological Researchmentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Potential Applications Of Blockchain In Radiological Researchmentioning

confidence: 99%

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

et al. 2022

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“…After the author ran 200 published abstracts through the ZeroGPT AI-detection tool, 59.5% and 79.2% of original and review article abstracts, respectively, showed the presence of AI-generated content. The findings raise a concern as to whether the use of AI in academic writing, if human authors do not declare such use, represents a new form of ghost authorship ( 2 , 3 ). This kind of use creates unequal opportunities among authors, especially when the AI-created content cannot be detected by available AI detection tools ( 4 ).…”

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confidence: 99%