Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Lawrence, Ngo"'
Autor:
Sarah P. Thomas, Tyler J. Fraum, Lawrence Ngo, Robert Harris, Elie Balesh, Mustafa R. Bashir, Benjamin Wildman-Tobriner
Publikováno v:
Journal of the American College of Radiology. 19:1286-1294
The aim of this study was to use artificial intelligence (AI) to facilitate peer review for detection of missed suspicious liver lesions (SLLs) on CT pulmonary angiographic (CTPA) examinations.This retrospective study included 1 month of consecutive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8683c58261138e1fc013681ea5d0ff5
https://doi.org/10.1016/j.jacr.2022.07.013
https://doi.org/10.1016/j.jacr.2022.07.013
Publikováno v:
Social Influence, Vol 12, Iss 2-3, Pp 57-68 (2017)
Over the last decade, social media has increasingly been used as a platform for political and moral discourse. We investigate whether conformity, specifically concerning moral attitudes, occurs in these virtual environments apart from face-to-face in
Externí odkaz:
https://doaj.org/article/2dd46d8bd0274886aaca8b9688ebbaeb
Autor:
Mustafa R. Bashir, Brandon Konkel, Joseph G. Mammarappallil, Lawrence Ngo, Jacob M Johnson, Benjamin Wildman-Tobriner
Publikováno v:
Journal of the American College of Radiology. 18:992-999
Purpose Incidental pulmonary embolism (IPE) can be found on body CT. The aim of this study was to evaluate the feasibility of using artificial intelligence to identify missed IPE on a large number of CT examinations. Methods This retrospective analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1da8e3c581a4009d6fc777a483fcda2d
https://doi.org/10.1016/j.jacr.2021.01.014
https://doi.org/10.1016/j.jacr.2021.01.014
Autor:
Lisa M. Ho, Wendy L. Ehieli, Brian C. Allen, Sheng Luo, Reginald Lerebours, Tracy A. Jaffe, Lawrence Ngo, Benjamin Wildman-Tobriner
Publikováno v:
Journal of the American College of Radiology. 18:265-273
To compare the effectiveness of different reporting templates using the ACR Thyroid Imaging Reporting and Data System (TI-RADS) for thyroid ultrasound.In this retrospective study, four radiologists implemented ACR TI-RADS while dictating 20 thyroid u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d661ac5d562626211a562ecc9f1dc87b
https://doi.org/10.1016/j.jacr.2020.07.024
https://doi.org/10.1016/j.jacr.2020.07.024
Here, we developed and validated a highly generalizable natural language processing algorithm based on deep-learning. Our algorithm was trained and tested on a highly diverse dataset from over 2,000 hospital sites and 500 radiologists. The resulting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef9bfe1d45a5148f1c15b2188b2f089
https://doi.org/10.1101/2021.12.15.21267875
https://doi.org/10.1101/2021.12.15.21267875
In this work, we report the results of a deep-learning based liver lesion detection algorithm. While several liver lesion segmentation and classification algorithms have been developed, none of the previous work has focused on detecting suspicious li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ff39412e9060124fd37a21dac72f8b
https://doi.org/10.1101/2021.12.15.21267873
https://doi.org/10.1101/2021.12.15.21267873
Though sophisticated algorithms have been developed for the classification of free-text radiology reports for pulmonary embolism (PE), their overall generalizability remains unvalidated given limitations in sample size and data homogeneity. We develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71b5d8464ab57be8ea21b9e272172499
https://doi.org/10.1101/2020.10.13.20211961
https://doi.org/10.1101/2020.10.13.20211961
Several algorithms have been developed for the detection of pulmonary embolism, though generalizability and bias remain potential weaknesses due to small sample size and sample homogeneity. We developed and validated a highly generalizable deep-learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::096e1d42a892e84dff5a665130f03970
https://doi.org/10.1101/2020.10.09.20210112
https://doi.org/10.1101/2020.10.09.20210112
Publikováno v:
Social Influence. 12:57-68
Over the last decade, social media has increasingly been used as a platform for political and moral discourse. We investigate whether conformity, specifically concerning moral attitudes, oc...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f9e341b7cc5bda9c50eda9c7d13cacc
https://doi.org/10.1080/15534510.2017.1323007
https://doi.org/10.1080/15534510.2017.1323007
Autor:
Taylor Richards, Charles M. Maxfield, Bohui Zhang, Ehsan Samei, Daniele Marin, Jennifer Ngo, Joseph T. Davis, Brian C. Allen, Lawrence Ngo, Vishwan Pamarthi, Donald P. Frush, Amrita Devalapalli, Justin Solomon, Alaattin Erkanli, Raymond Groller, Gary R. Schooler, Bhavik N. Patel
Publikováno v:
Radiol Imaging Cancer
PURPOSE: To create and validate a systematic observer performance platform for evaluation of simulated liver lesions at pediatric CT and to test this paradigm to measure the effect of radiation dose reduction on detection performance and reader confi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6dfc0ec7577a799bec7d7b3e91cb57e
https://europepmc.org/articles/PMC7983686/
https://europepmc.org/articles/PMC7983686/