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10.4103/ijri.IJRI_618_20 http://scihub22266oqcxt.onion/10.4103/ijri.IJRI_618_20 33814755!7996687!33814755     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Indian+J+Radiol+Imaging 2021 ; 31 (Suppl 1): S4-S10 Nephropedia Template TP {{tp|p=33814755|t=2021. Artificial intelligence and radiology: Combating the COVID-19 conundrum |pdf=|usr=}}{{33814755}} gab.com Text Artificial intelligence and radiology: Combating the COVID-19 conundrum JO: Indian J Radiol Imaging http://www.kidney.de/pget.php?&tw=1&pmid=33814755 #FOAvip The COVID-19 pandemic has necessitated rapid testing and diagnosis to manage its spread. While reverse transcriptase polymerase chain reaction (RT-PCR) is being used as the gold standard method to diagnose COVID-19, many scientists and doctors have pointed out some challenges related to the variability, accuracy, and affordability of this technique. At the same time, radiological methods, which were being used to diagnose COVID-19 in the early phase of the pandemic in China, were sidelined by many primarily due to their low specificity and the difficulty in conducting a differential diagnosis. However, the utility of radiological methods cannot be neglected. Indeed, over the past few months, healthcare consultants and radiologists in India have been using or advising the use of high-resolution computed tomography (HRCT) of the chest for early diagnosis and tracking of COVID-19, particularly in preoperative and asymptomatic patients. At the same time, scientists have been trying to improve upon the radiological method of COVID-19 diagnosis and monitoring by using artificial intelligence (AI)-based interpretation models. This review is an effort to compile and compare such efforts. To this end, the latest scientific literature on the use of radiology and AI-assisted radiology for the diagnosis and monitoring of COVID-19 has been reviewed and presented, highlighting the strengths and limitations of such techniques. Twit Text FOAVip Artificial intelligence and radiology: Combating the COVID-19 conundrum ????Indian J Radiol Imaging http://www.kidney.de/pget.php?&tw=1&pmid=33814755 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33814755 #FOAvip English Wikipedia <ref>{{Cite pmid|33814755}}</ref> Artificial intelligence and radiology: Combating the COVID-19 conundrum #MMPMID33814755 Pankhania M Indian J Radiol Imaging 2021[Jan]; 31 (Suppl 1): S4-S10 PMID33814755show ga The COVID-19 pandemic has necessitated rapid testing and diagnosis to manage its spread. While reverse transcriptase polymerase chain reaction (RT-PCR) is being used as the gold standard method to diagnose COVID-19, many scientists and doctors have pointed out some challenges related to the variability, accuracy, and affordability of this technique. At the same time, radiological methods, which were being used to diagnose COVID-19 in the early phase of the pandemic in China, were sidelined by many primarily due to their low specificity and the difficulty in conducting a differential diagnosis. However, the utility of radiological methods cannot be neglected. Indeed, over the past few months, healthcare consultants and radiologists in India have been using or advising the use of high-resolution computed tomography (HRCT) of the chest for early diagnosis and tracking of COVID-19, particularly in preoperative and asymptomatic patients. At the same time, scientists have been trying to improve upon the radiological method of COVID-19 diagnosis and monitoring by using artificial intelligence (AI)-based interpretation models. This review is an effort to compile and compare such efforts. To this end, the latest scientific literature on the use of radiology and AI-assisted radiology for the diagnosis and monitoring of COVID-19 has been reviewed and presented, highlighting the strengths and limitations of such techniques. äArtificial intelligence and radiology: Combating the COVID-19 conundru(epmc).pdf DeepDyve Pubget Overpricing