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10.1016/j.patter.2021.100269 http://scihub22266oqcxt.onion/10.1016/j.patter.2021.100269 33969323!8086827!33969323     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Patterns+(N+Y) 2021 ; 2 (6): 100269 Nephropedia Template TP {{tp|p=33969323|t=2021. On the role of artificial intelligence in medical imaging of COVID-19 |pdf=|usr=}}{{33969323}} gab.com Text On the role of artificial intelligence in medical imaging of COVID-19 JO: Patterns (N Y) http://www.kidney.de/pget.php?&tw=1&pmid=33969323 #FOAvip Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the largest systematic review of the literature addressing the utility of AI in imaging for COVID-19 patient care. By keyword searches on PubMed and preprint servers throughout 2020, we identified 463 manuscripts and performed a systematic meta-analysis to assess their technical merit and clinical relevance. Our analysis evidences a significant disparity between clinical and AI communities, in the focus on both imaging modalities (AI experts neglected CT and ultrasound, favoring X-ray) and performed tasks (71.9% of AI papers centered on diagnosis). The vast majority of manuscripts were found to be deficient regarding potential use in clinical practice, but 2.7% (n = 12) publications were assigned a high maturity level and are summarized in greater detail. We provide an itemized discussion of the challenges in developing clinically relevant AI solutions with recommendations and remedies. Twit Text FOAVip On the role of artificial intelligence in medical imaging of COVID-19 ????Patterns (N Y) http://www.kidney.de/pget.php?&tw=1&pmid=33969323 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33969323 #FOAvip English Wikipedia <ref>{{Cite pmid|33969323}}</ref> On the role of artificial intelligence in medical imaging of COVID-19 #MMPMID33969323 Born J; Beymer D; Rajan D; Coy A; Mukherjee VV; Manica M; Prasanna P; Ballah D; Guindy M; Shaham D; Shah PL; Karteris E; Robertus JL; Gabrani M; Rosen-Zvi M Patterns (N Y) 2021[Jun]; 2 (6): 100269 PMID33969323show ga Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the largest systematic review of the literature addressing the utility of AI in imaging for COVID-19 patient care. By keyword searches on PubMed and preprint servers throughout 2020, we identified 463 manuscripts and performed a systematic meta-analysis to assess their technical merit and clinical relevance. Our analysis evidences a significant disparity between clinical and AI communities, in the focus on both imaging modalities (AI experts neglected CT and ultrasound, favoring X-ray) and performed tasks (71.9% of AI papers centered on diagnosis). The vast majority of manuscripts were found to be deficient regarding potential use in clinical practice, but 2.7% (n = 12) publications were assigned a high maturity level and are summarized in greater detail. We provide an itemized discussion of the challenges in developing clinically relevant AI solutions with recommendations and remedies. äOn the role of artificial intelligence in medical imaging of COVID-19 (epmc).pdf DeepDyve Pubget Overpricing