FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211329107> ?p ?o ?g. }

• W3211329107 endingPage "2049" @default.
• W3211329107 startingPage "2049" @default.
• W3211329107 abstract "Lung ultrasound (LUS) is an accurate thoracic imaging technique distinguished by its handheld size, low-cost, and lack of radiation. User dependence and poor access to training have limited the impact and dissemination of LUS outside of acute care hospital environments. Automated interpretation of LUS using deep learning can overcome these barriers by increasing accuracy while allowing point-of-care use by non-experts. In this multicenter study, we seek to automate the clinically vital distinction between A line (normal parenchyma) and B line (abnormal parenchyma) on LUS by training a customized neural network using 272,891 labelled LUS images. After external validation on 23,393 frames, pragmatic clinical application at the clip level was performed on 1162 videos. The trained classifier demonstrated an area under the receiver operating curve (AUC) of 0.96 (±0.02) through 10-fold cross-validation on local frames and an AUC of 0.93 on the external validation dataset. Clip-level inference yielded sensitivities and specificities of 90% and 92% (local) and 83% and 82% (external), respectively, for detecting the B line pattern. This study demonstrates accurate deep-learning-enabled LUS interpretation between normal and abnormal lung parenchyma on ultrasound frames while rendering diagnostically important sensitivity and specificity at the video clip level." @default.
• W3211329107 created "2021-11-08" @default.
• W3211329107 creator A5002278003 @default.
• W3211329107 creator A5003735718 @default.
• W3211329107 creator A5005855973 @default.
• W3211329107 creator A5007375599 @default.
• W3211329107 creator A5015709909 @default.
• W3211329107 creator A5019872100 @default.
• W3211329107 creator A5026205407 @default.
• W3211329107 creator A5029964514 @default.
• W3211329107 creator A5050734119 @default.
• W3211329107 creator A5067241299 @default.
• W3211329107 creator A5070182490 @default.
• W3211329107 creator A5070908946 @default.
• W3211329107 creator A5073184189 @default.
• W3211329107 creator A5091902222 @default.
• W3211329107 date "2021-11-04" @default.
• W3211329107 modified "2023-10-03" @default.
• W3211329107 title "Automation of Lung Ultrasound Interpretation via Deep Learning for the Classification of Normal versus Abnormal Lung Parenchyma: A Multicenter Study" @default.
• W3211329107 cites W1970157883 @default.
• W3211329107 cites W1995292174 @default.
• W3211329107 cites W2042723080 @default.
• W3211329107 cites W2042943406 @default.
• W3211329107 cites W2051681038 @default.
• W3211329107 cites W2089368472 @default.
• W3211329107 cites W2119638066 @default.
• W3211329107 cites W2150835094 @default.
• W3211329107 cites W2386169187 @default.
• W3211329107 cites W2557738935 @default.
• W3211329107 cites W2581082771 @default.
• W3211329107 cites W2885478230 @default.
• W3211329107 cites W2888424632 @default.
• W3211329107 cites W2896287590 @default.
• W3211329107 cites W2905036793 @default.
• W3211329107 cites W2942523753 @default.
• W3211329107 cites W2942858056 @default.
• W3211329107 cites W2969096242 @default.
• W3211329107 cites W2969265612 @default.
• W3211329107 cites W2970896228 @default.
• W3211329107 cites W2972901606 @default.
• W3211329107 cites W2988320044 @default.
• W3211329107 cites W3005853935 @default.
• W3211329107 cites W3007935259 @default.
• W3211329107 cites W3011149445 @default.
• W3211329107 cites W3012325422 @default.
• W3211329107 cites W3016185001 @default.
• W3211329107 cites W3016652444 @default.
• W3211329107 cites W3023364743 @default.
• W3211329107 cites W3025576489 @default.
• W3211329107 cites W3034796407 @default.
• W3211329107 cites W3035579407 @default.
• W3211329107 cites W3099169779 @default.
• W3211329107 cites W3128031726 @default.
• W3211329107 cites W3132346797 @default.
• W3211329107 cites W3133600711 @default.
• W3211329107 cites W3150212014 @default.
• W3211329107 cites W3159516971 @default.
• W3211329107 cites W3164214265 @default.
• W3211329107 cites W3186098023 @default.
• W3211329107 doi "https://doi.org/10.3390/diagnostics11112049" @default.
• W3211329107 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8621216" @default.
• W3211329107 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34829396" @default.
• W3211329107 hasPublicationYear "2021" @default.
• W3211329107 type Work @default.
• W3211329107 sameAs 3211329107 @default.
• W3211329107 citedByCount "9" @default.
• W3211329107 countsByYear W32113291072022 @default.
• W3211329107 countsByYear W32113291072023 @default.
• W3211329107 crossrefType "journal-article" @default.
• W3211329107 hasAuthorship W3211329107A5002278003 @default.
• W3211329107 hasAuthorship W3211329107A5003735718 @default.
• W3211329107 hasAuthorship W3211329107A5005855973 @default.
• W3211329107 hasAuthorship W3211329107A5007375599 @default.
• W3211329107 hasAuthorship W3211329107A5015709909 @default.
• W3211329107 hasAuthorship W3211329107A5019872100 @default.
• W3211329107 hasAuthorship W3211329107A5026205407 @default.
• W3211329107 hasAuthorship W3211329107A5029964514 @default.
• W3211329107 hasAuthorship W3211329107A5050734119 @default.
• W3211329107 hasAuthorship W3211329107A5067241299 @default.
• W3211329107 hasAuthorship W3211329107A5070182490 @default.
• W3211329107 hasAuthorship W3211329107A5070908946 @default.
• W3211329107 hasAuthorship W3211329107A5073184189 @default.
• W3211329107 hasAuthorship W3211329107A5091902222 @default.
• W3211329107 hasBestOaLocation W32113291071 @default.
• W3211329107 hasConcept C108583219 @default.
• W3211329107 hasConcept C119857082 @default.
• W3211329107 hasConcept C126322002 @default.
• W3211329107 hasConcept C126838900 @default.
• W3211329107 hasConcept C142724271 @default.
• W3211329107 hasConcept C143753070 @default.
• W3211329107 hasConcept C154945302 @default.
• W3211329107 hasConcept C196822366 @default.
• W3211329107 hasConcept C2777714996 @default.
• W3211329107 hasConcept C41008148 @default.
• W3211329107 hasConcept C58471807 @default.
• W3211329107 hasConcept C71924100 @default.
• W3211329107 hasConceptScore W3211329107C108583219 @default.
• W3211329107 hasConceptScore W3211329107C119857082 @default.

• next