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您的检索式：作者名="Christophe Perret"
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| 1 | Evaluation of Doppler-ultrasonography in the diagnosis of transjugular intrahepatic portosystemic shunt dysfunction: A prospective study显示文摘AIM To prospectively evaluate the performance of Dopplerultrasonography(US) for the detection of transjugular intrahepatic portosystemic shunt(TIPS) dysfunction within a multicenter cohort of cirrhotic patients.METHODS This study was conducted in 10 french teaching hospitals. After TIPS insertion, angiography and liver Doppler-US were carried out every six months to detect dysfunction(defined by a portosystemic gradient ≥ 12 mm Hg and/or a stent stenosis ≥ 50%). The association between ultrasonographic signs and dysfunction was studied by logistic random-effects models, and the diagnostic performance of each Doppler criterion was estimated by the bootstrap method. This study was approved by the ethics committee of Tours.RESULTS Two hundred and eighteen pairs of examinations performed on 87 cirrhotic patients were analyzed. Variables significantly associated with dysfunction were: The speed of flow in the portal vein(P = 0.008), the reversal of flow in the right(P = 0.038) and left(P = 0.049) portal branch, the loss of modulation of portal flow by the right atrium(P = 0.0005), ascites(P = 0.001) and the overall impression of the operator(P = 0.0001). The diagnostic performances of these variables were low; sensitivity was < 58% and negative predictive value was < 73%. Therefore, dysfunction cannot be ruled out from Doppler-US. CONCLUSION The performance of Doppler-US for the detection of TIPS dysfunction is poor compared to angiography. New tools are needed to improve diagnosis of TIPS dysfunction. | Charlotte Nicolas Amelie Le Gouge Louis d’Alteroche Jean Ayoub Monica Georgescu Vincent Vidal Denis Castaing Jean-Pierre Cercueil Patrick Chevallier Jerome Roumy Herve Trillaud Louis Boyer Vincent Le Pennec Christophe Perret Bruno Giraudeau Jean-Marc Perarnau STIC-TIPS group | 2017 | World Journal of Hepatology2017，9，27： | 6 |
| 2 | A 3D indicator for guiding AI applications in the energy sector显示文摘The utilisation of Artificial Intelligence (AI) applications in the energy sector is gaining momentum, withincreasingly intensive search for suitable, high-quality and trustworthy solutions that displayed promisingresults in research. The growing interest comes from decision makers of both the industry and policydomains, searching for applications to increase companies’ profitability, raise efficiency and facilitate theenergy transition. This paper aims to provide a novel three-dimensional (3D) indicator for AI applicationsin the energy sector, based on their respective maturity level, regulatory risks and potential benefits. Casestudies are used to exemplify the application of the 3D indicator, showcasing how the developed frameworkcan be used to filter promising AI applications eligible for governmental funding or business development.In addition, the 3D indicator is used to rank AI applications considering different stakeholder preferences(risk-avoidance, profit-seeking, balanced). These results allow AI applications to be better categorised in theface of rapidly emerging national and intergovernmental AI strategies and regulations that constrain the useof AI applications in critical infrastructures. | Hugo Quest Marine Cauz Fabian Heymann Christian Rod Lionel Perret Christophe Ballif Alessandro Virtuani Nicolas Wyrsch | 2022 | Energy and AI2022，9，3： | 0 |
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