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10.1183/16000617.0181-2020 http://scihub22266oqcxt.onion/10.1183/16000617.0181-2020 33004526!7537944!33004526     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+Respir+Rev 2020 ; 29 (157): ä Nephropedia Template TP {{tp|p=33004526|t=2020. Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19 |pdf=|usr=}}{{33004526}} gab.com Text Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19 JO: Eur Respir Rev http://www.kidney.de/pget.php?&tw=1&pmid=33004526 #FOAvip Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging and electronic health records. Such massive growth has sparked the development of an increasing number of AI-based applications that can be deployed in clinical practice. Pulmonary specialists who are familiar with the principles of AI and its applications will be empowered and prepared to seize future practice and research opportunities. The goal of this review is to provide pulmonary specialists and other readers with information pertinent to the use of AI in pulmonary medicine. First, we describe the concept of AI and some of the requisites of machine learning and deep learning. Next, we review some of the literature relevant to the use of computer vision in medical imaging, predictive modelling with machine learning, and the use of AI for battling the novel severe acute respiratory syndrome-coronavirus-2 pandemic. We close our review with a discussion of limitations and challenges pertaining to the further incorporation of AI into clinical pulmonary practice. Twit Text FOAVip Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19 ????Eur Respir Rev http://www.kidney.de/pget.php?&tw=1&pmid=33004526 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33004526 #FOAvip English Wikipedia <ref>{{Cite pmid|33004526}}</ref> Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19 #MMPMID33004526 Khemasuwan D; Sorensen JS; Colt HG Eur Respir Rev 2020[Sep]; 29 (157): ä PMID33004526show ga Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging and electronic health records. Such massive growth has sparked the development of an increasing number of AI-based applications that can be deployed in clinical practice. Pulmonary specialists who are familiar with the principles of AI and its applications will be empowered and prepared to seize future practice and research opportunities. The goal of this review is to provide pulmonary specialists and other readers with information pertinent to the use of AI in pulmonary medicine. First, we describe the concept of AI and some of the requisites of machine learning and deep learning. Next, we review some of the literature relevant to the use of computer vision in medical imaging, predictive modelling with machine learning, and the use of AI for battling the novel severe acute respiratory syndrome-coronavirus-2 pandemic. We close our review with a discussion of limitations and challenges pertaining to the further incorporation of AI into clinical pulmonary practice. |*Algorithms[MESH] |*Artificial Intelligence[MESH] |*Betacoronavirus[MESH] |*Machine Learning[MESH] |COVID-19[MESH] |Coronavirus Infections/*diagnosis[MESH] |Delivery of Health Care/*methods[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis[MESH] |Pulmonary Medicine/*methods[MESH]Artificial intelligence in pulmonary medicine: computer vision, predic(epmc).pdf DeepDyve Pubget Overpricing