Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Megan Mercer"'
Autor:
Jordan Chamberlin, Madison R. Kocher, Jeffrey Waltz, Madalyn Snoddy, Natalie F. C. Stringer, Joseph Stephenson, Pooyan Sahbaee, Puneet Sharma, Saikiran Rapaka, U. Joseph Schoepf, Andres F. Abadia, Jonathan Sperl, Phillip Hoelzer, Megan Mercer, Nayana Somayaji, Gilberto Aquino, Jeremy R. Burt
Publikováno v:
BMC Medicine, Vol 19, Iss 1, Pp 1-14 (2021)
Abstract Background Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet
Externí odkaz:
https://doaj.org/article/a1c542a73b0849169c6de25f8a74f99f
Autor:
Madison R. Kocher, Jordan Chamberlin, Jeffrey Waltz, Madalyn Snoddy, Natalie Stringer, Joseph Stephenson, Jacob Kahn, Megan Mercer, Dhiraj Baruah, Gilberto Aquino, Ismail Kabakus, Philipp Hoelzer, Pooyan Sahbaee, U. Joseph Schoepf, Jeremy R. Burt
Publikováno v:
Heliyon, Vol 8, Iss 2, Pp e08962- (2022)
Background: Determination of the total number and size of all pulmonary metastases on chest CT is time-consuming and as such has been understudied as an independent metric for disease assessment. A novel artificial intelligence (AI) model may allow f
Externí odkaz:
https://doaj.org/article/a195096dc27349b2abfa79d14a98de9a
Autor:
Megan Mercer, Sean Brady, Jeremy R. Burt, Mehmet Akif Gulsun, Selcuk Akkaya, Ali M. Agha, Basel Yacoub, Dhiraj Baruah, Nathan Leaphart, Madison Kocher, Michael E. Field, Gilberto J. Aquino, Jeffrey Waltz, U. Joseph Schoepf, Jordan Chamberlin, Ismail Kabakus, Puneet Sharma, Matthew Fiegel, Tilman Emrich, Vincent Giovagnoli, Stefan Zimmerman, Andrew Dippre, Pooyan Sahbaee, Athira Jacob
Publikováno v:
Journal of Cardiovascular Computed Tomography. 16:245-253
Background: Non-contrast chest CTs (NCCT) are performed routinely for coronary artery calcium (CAC) scoring and lung cancer screening. However, a large amount of noncoronary and nonpulmonary data from these scans remain unassessed. We aimed to valida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7b472157865336bcf0098895715fb4
https://doi.org/10.1016/j.jcct.2021.12.005
https://doi.org/10.1016/j.jcct.2021.12.005
Autor:
Gilberto J. Aquino, Jordan Chamberlin, Basel Yacoub, Madison R. Kocher, Ismail Kabakus, Selcuk Akkaya, Megan Mercer, Jeffrey Waltz, Matthew Fiegel, Nathan Leaphart, Athira Jacob, Mehmet Akif Gulsun, James Gilkes, Joe Stephenson, Puneet Sharma, Pooyan Sahbaee, Joseph Schoepf, Stefan Zimmerman, Michael E. Field, Ali M. Agha, Jeremy R. Burt
Publikováno v:
European Radiology. 32:5256-5264
To evaluate the effectiveness of a novel artificial intelligence (AI) algorithm for fully automated measurement of left atrial (LA) volumes and function using cardiac CT in patients with atrial fibrillation.We included 79 patients (mean age 63 ± 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a584e89a5c7d5b6220c1acbc8acf9134
https://doi.org/10.1007/s00330-022-08657-y
https://doi.org/10.1007/s00330-022-08657-y
Autor:
Jeremy R. Burt, Madison R. Kocher, Lauren Snider, Jeffrey Waltz, Jordan Heston Chamberlin, Gilberto J. Aquino, Vincent Giovagnoli, Megan Mercer, Nicholas Feranec
Publikováno v:
Visceral Medicine. 38:288-294
Background: The purpose of this study was to develop and validate reliable computed tomography (CT) imaging criteria for the diagnosis of gastric band slippage. Material and Methods: We retrospectively evaluated 67 patients for gastric band slippage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817da22843b13af531b944054a308c3e
https://doi.org/10.1159/000524588
https://doi.org/10.1159/000524588
Autor:
Basel Yacoub, Natalie Stringer, Madalyn Snoddy, Danielle M. Dargis, Ismail Kabakus, U. Joseph Schoepf, Gilberto J. Aquino, Vincenzo Vingiani, Jeremy R. Burt, Philipp Hoelzer, Andres F. Abadia, Pooyan Sahbaee, Jonathan I. Sperl, Madison Kocher, Megan Mercer
Publikováno v:
Journal of Thoracic Imaging. 37:154-161
OBJECTIVES The aim of the study is to investigate the performance of artificial intelligence (AI) convolutional neural networks (CNN) in detecting lung nodules on chest computed tomography of patients with complex lung disease, and demonstrate its no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce6c53657d4bbc14208dbc8bc4744cf
https://doi.org/10.1097/rti.0000000000000613
https://doi.org/10.1097/rti.0000000000000613
Publikováno v:
Journal of clinical imaging science. 12
Following low anterior resection (LAR) of the colon, an image-guided assessment of the anastomosis for leak is typically performed using an enema via a rectal catheter, whether by CT or fluoroscopy. However, there is potential for poor assessment due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0daecc3ed074042a9392c38e0757405b
https://pubmed.ncbi.nlm.nih.gov/35510240
https://pubmed.ncbi.nlm.nih.gov/35510240
Autor:
Gilberto Aquino, Jordan Chamberlin, Megan Mercer, Madison Kocher, Ismail Mikdat Kabakus, Selcuk Akkaya, Matthew Fiegel, Sean Brady, Nathan Leaphart, Andrew Dippre, Vincent Giovagnoli, Basel Yacoub, Athira Jacob, Mehmet Gulsun, Pooyan Sahbaee, Puneet Sharma, Jeffrey Waltz, Joseph Schoepf, dhiraj baruah, Tilman Emrich, Stefan Zimmerman, Ali Agha, Jeremy R Burt
Publikováno v:
Circulation. 144
Introduction/Hypothesis: To develop and validate a deep learning model to automatically segment and measure left atrial (LA) volumes from routine noncontrast chest CTs and evaluate for outcomes prognosis. Methods: A prototype AI algorithm, with a con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4dd420db86156390e423120113e3844
https://doi.org/10.1161/circ.144.suppl_1.10633
https://doi.org/10.1161/circ.144.suppl_1.10633