Zobrazeno 1 - 10
of 13
pro vyhledávání: '"John K Chin"'
Autor:
James M. Hillis, Bernardo C. Bizzo, Isabella Newbury‐Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Eric L'Italien, Ashley L. MacDonald, Alex S. Schultz, Karen Buch, John Conklin, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, William A. Mehan
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 4, Iss 4 (2024)
Background Intracranial hemorrhage is a critical finding on computed tomography (CT) of the head. This study compared the accuracy of an artificial intelligence (AI) model (Annalise Enterprise CTB Triage Trauma) to consensus neuroradiologist interpre
Externí odkaz:
https://doaj.org/article/1000eb9586fa40549a7ef12b84c6d349
Autor:
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-pos
Externí odkaz:
https://doaj.org/article/854bbf674fbe487dae58da0a4762c5f1
Autor:
Christopher P. Bridge, Bernardo C. Bizzo, James M. Hillis, John K. Chin, Donnella S. Comeau, Romane Gauriau, Fabiola Macruz, Jayashri Pawar, Flavia T. C. Noro, Elshaimaa Sharaf, Marcelo Straus Takahashi, Bradley Wright, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Stefano Pedemonte, R. Gilberto González
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Stroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. We developed a machine learnin
Externí odkaz:
https://doaj.org/article/157c664d20a9403091eb001175b7373f
Autor:
Matthew A. Haber, Giorgio P. Biondetti, Romane Gauriau, Donnella S. Comeau, John K. Chin, Bernardo C. Bizzo, Julia Strout, Alexandra J. Golby, Katherine P. Andriole
Publikováno v:
Neural Computing and Applications. 35:9907-9915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16365bd652d71b86362be72f9a2bc060
https://doi.org/10.1007/s00521-023-08225-5
https://doi.org/10.1007/s00521-023-08225-5
Autor:
Romane Gauriau, John K Chin, Christopher P. Bridge, James Hillis, Bradley Wright, Elshaimaa Sharaf, Jayashri Pawar, R. Gilberto Gonzalez, Stefano Pedemonte, John Francis Kalafut, Bernardo Bizzo, Stuart R. Pomerantz, Katherine P. Andriole, Fabiola B. C. Macruz, Marcelo Straus Takahashi, Donnella S Comeau, Flavia T C Noro
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
BackgroundStroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. MethodsWe developed a machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03e4e048dcd8c86260633466ae7a316c
https://doaj.org/article/157c664d20a9403091eb001175b7373f
https://doaj.org/article/157c664d20a9403091eb001175b7373f
Autor:
Cory Robinson-Weiss, Jay Patel, Bernardo C. Bizzo, Daniel I. Glazer, Christopher P. Bridge, Katherine P. Andriole, Borna Dabiri, John K. Chin, Keith Dreyer, Jayashree Kalpathy-Cramer, William W. Mayo-Smith
Publikováno v:
Radiology. 306
Background Adrenal masses are common, but radiology reporting and recommendations for management can be variable. Purpose To create a machine learning algorithm to segment adrenal glands on contrast-enhanced CT images and classify glands as normal or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7933d49cc84effd2c5c055a3dca773
https://doi.org/10.1148/radiol.220101
https://doi.org/10.1148/radiol.220101
Autor:
James M Hillis, Bernardo C Bizzo, Romane Gauriau, Christopher P Bridge, John K Chin, Buthaina Hakamy, Sarah Mercaldo, John Conklin, Sayon Dutta, William A Mehan, Robert W Regenhardt, Ajay Singh, Aneesh B Singhal, Jonathan D Sonis, Marc D Succi, Tianhao Zhang, Bin Xing, John F Kalafut, Keith J Dreyer, Michael H Lev, R Gilberto González
Acute ischemic stroke can be subtle to detect on non-contrast computed tomography imaging. We show that a novel artificial intelligence model significantly improves the performance of physicians, including ED physicians, neurologists and radiologists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd5f830fad6f0074469014b57efa9aa
https://doi.org/10.1101/2023.01.16.23284632
https://doi.org/10.1101/2023.01.16.23284632
Autor:
James M. Hillis, Bernardo C. Bizzo, Sarah Mercaldo, John K. Chin, Isabella Newbury-Chaet, Subba R. Digumarthy, Matthew D. Gilman, Victorine V. Muse, Georgie Bottrell, Jarrel C.Y. Seah, Catherine M. Jones, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
JAMA network open. 5(12)
ImportanceEarly detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model could
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0cbd25ec5c98b93eab207ecbda78081
https://pubmed.ncbi.nlm.nih.gov/36520432
https://pubmed.ncbi.nlm.nih.gov/36520432
Autor:
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev
Publikováno v:
Scientific reports. 13(1)
Non-contrast head CT (NCCT) is extremely insensitive for early (2 > 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-positive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1885ccb00088b6a641888d115188ee75
https://pubmed.ncbi.nlm.nih.gov/36604467
https://pubmed.ncbi.nlm.nih.gov/36604467
Autor:
James M Hillis, Bernardo C Bizzo, Sarah Mercaldo, John K Chin, Isabella Newbury-Chaet, Subba R Digumarthy, Matthew D Gilman, Victorine V Muse, Georgie Bottrell, Jarrel CY Seah, Catherine M Jones, Mannudeep K Kalra, Keith J Dreyer
ImportanceEarly detection of pneumothorax, most often on chest radiograph (CXR), can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cb0720aaaef0ac808100c897b98ad89
https://doi.org/10.1101/2022.07.07.22277305
https://doi.org/10.1101/2022.07.07.22277305