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http://scihub22266oqcxt.onion/ 33211427!ä!33211427 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Rev+Med+Liege 2020 ; 75 (S1): 81-85 Nephropedia Template TP {{tp|p=33211427|t=2020. Les aspects radiologiques de la pneumopathie a COVID-19 : de l'imagerie conventionnelle a l'intelligence artificielle |pdf=|usr=}}{{33211427}} gab.com Text Les aspects radiologiques de la pneumopathie a COVID-19 : de l'imagerie conventionnelle a l'intelligence artificielle JO: Rev Med Liege http://www.kidney.de/pget.php?&tw=1&pmid=33211427 #FOAvip In the course of the pandemic induced by the appearance of a new coronavirus (SARS-CoV-2; COVID-19) causing acute respiratory distress syndrome (ARDS), we had to rethink the diagnostic approach for patients suffering from respiratory symptoms. Indeed, although the use of RT-PCR remains the keystone of the diagnosis, the delay in diagnosis as well as the overload of the microbiological platforms have led us to make almost systematic the use of thoracic imaging for taking in charge of patients. In this context, thoracic imaging has shown a major interest in diagnostic aid in order to better guide the management of patients admitted to hospital. The most common signs encountered are particularly well described in thoracic computed tomography. Typical imaging combines bilateral, predominantly peripheral and posterior, multi-lobar, ground glass opacities. Of note, it is common to identify significant lesions in asymptomatic patients, with imaging sometimes preceding the onset of symptoms. Beyond conventional chest imaging, many teams have developed new artificial intelligence tools to better help clinicians in decision-making. Twit Text FOAVip Les aspects radiologiques de la pneumopathie a COVID-19 : de l'imagerie conventionnelle a l'intelligence artificielle ????Rev Med Liege http://www.kidney.de/pget.php?&tw=1&pmid=33211427 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33211427 #FOAvip English Wikipedia <ref>{{Cite pmid|33211427}}</ref> Les aspects radiologiques de la pneumopathie a COVID-19 : de l'imagerie conventionnelle a l'intelligence artificielle #MMPMID33211427 Guiot J; Danthine D; Deprez L; Louis R; Lovinfosse P; Meunier P Rev Med Liege 2020[Sup]; 75 (S1): 81-85 PMID33211427show ga In the course of the pandemic induced by the appearance of a new coronavirus (SARS-CoV-2; COVID-19) causing acute respiratory distress syndrome (ARDS), we had to rethink the diagnostic approach for patients suffering from respiratory symptoms. Indeed, although the use of RT-PCR remains the keystone of the diagnosis, the delay in diagnosis as well as the overload of the microbiological platforms have led us to make almost systematic the use of thoracic imaging for taking in charge of patients. In this context, thoracic imaging has shown a major interest in diagnostic aid in order to better guide the management of patients admitted to hospital. The most common signs encountered are particularly well described in thoracic computed tomography. Typical imaging combines bilateral, predominantly peripheral and posterior, multi-lobar, ground glass opacities. Of note, it is common to identify significant lesions in asymptomatic patients, with imaging sometimes preceding the onset of symptoms. Beyond conventional chest imaging, many teams have developed new artificial intelligence tools to better help clinicians in decision-making. |*Artificial Intelligence[MESH] |*Betacoronavirus[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |COVID-19[MESH] |Humans[MESH]Les aspects radiologiques de la pneumopathie a COVID-19 : de l'imageri(epmc).pdf DeepDyve Pubget Overpricing