7 research outputs found

    Percutaneous Transhepatic Bile Duct Ablation with n-Butyl Cyanoacrylate in the Treatment of a Biliary Complication after Split Liver Transplantation

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    Biliary complications continue to be a major cause of morbidity after split-liver transplantation (SLT). In this report we describe an uncommon late biliary complication. One year after SLT the patient showed an intrahepatic bile dicy dilatation with severe cholangitis episodes. The segmentary bile duct of hepatic segment VI-VII draining in the left duct was unidentified and tied at the time of the in situ split-liver procedure. We perform a permanent obliteration of the dilated intrahepatic ducts by a percutaneous embolization using an n-butyl cyanoacrylate (NABC). The management of biliary complications after SLT requires a multidisciplinary approach. The use of NBCA in obliteration of a dilated bile duct seems to be a safe procedure with good results providing a less invasive option than hepatic resection and decreasing the morbidity associated with chronic external biliary drainage. Further studies are needed to determine whether this approach is effective and safe and whether it could reduce hospital stay and cost

    The influence of artificial intelligence on the AISs efficiency: Moderating effect of the cyber security

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    AbstractThe study designed to identify the influence of artificial intelligence on the efficiency of Accounting Information Systems (AIS) in the Jordanian industial companies, where the descriptive analytical approach was used. The study population included all Jordanian industrial companies listed in Amman Stock Exchange, includes (55) industrial companies. The respondents includes the managers, where (275) questionnaires were distributed to the study respondents electronically, with an average of (5) questionnaires for each company, and retrieved 142 valid questionnaires for statistical analysis. The results presented that there is a significant and positive effect of artificial intelligence’s dimensions (i.e. expert systems, genetic algorithms, intelligent agents) on the efficiency of AIS in Jordanian industrial companies. But the resule revealed that neural network as an artificial intelligence’s dimensions have non-significant effect on the efficiency of AISs. The result also found that the effective application of cyber security moderates the relationship between artificial intelligence and the the efficiency of AIS positively. Given the importance of the industrial companies’ sector in the context of Jordan, the results are useful for these companies with regard to the issue of AIS efficiency and the role of artificial intelligence applications in this efficiency. The results also highlighted the importance of the effective application of cyber security in such a technological era. To the knowledge of the authors, this study is one of the first to address cybersecurity as a moderating variable on the relationship between artificial intelligence applications and AIS efficiency in industrial companies in Jordan, a developing country
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