Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Bryan He"'
Autor:
Kirsten R. Steffner, Matthew Christensen, George Gill, Michael Bowdish, Justin Rhee, Abirami Kumaresan, Bryan He, James Zou, David Ouyang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperat
Externí odkaz:
https://doaj.org/article/42f79ba60de84a0dbd4e762978d628b1
Autor:
Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-6 (2022)
Abstract Deep learning has been shown to accurately assess “hidden” phenotypes from medical imaging beyond traditional clinician interpretation. Using large echocardiography datasets from two healthcare systems, we test whether it is possible to
Externí odkaz:
https://doaj.org/article/2a52be768e6d41c4aceb864bd324c729
Autor:
Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-10 (2020)
Abstract Echocardiography uses ultrasound technology to capture high temporal and spatial resolution images of the heart and surrounding structures, and is the most common imaging modality in cardiovascular medicine. Using convolutional neural networ
Externí odkaz:
https://doaj.org/article/914a9b08ef9d49d596f7dc8d8a6c2fa6
Autor:
J Weston Hughes, Neal Yuan, Bryan He, Jiahong Ouyang, Joseph Ebinger, Patrick Botting, Jasper Lee, John Theurer, James E. Tooley, Koen Nieman, Matthew P. Lungren, David H. Liang, Ingela Schnittger, Jonathan H. Chen, Euan A. Ashley, Susan Cheng, David Ouyang, James Y. Zou
Publikováno v:
EBioMedicine, Vol 73, Iss , Pp 103613- (2021)
Background: Laboratory testing is routinely used to assay blood biomarkers to provide information on physiologic state beyond what clinicians can evaluate from interpreting medical imaging. We hypothesized that deep learning interpretation of echocar
Externí odkaz:
https://doaj.org/article/d63c1ebdec3940da9957bade5fd02847
Publikováno v:
Journal of the American Society of Echocardiography. 36:482-489
Autor:
Bryan He, Alan C. Kwan, Jae Hyung Cho, Neal Yuan, Charles Pollick, Takahiro Shiota, Joseph Ebinger, Natalie A. Bello, Janet Wei, Kiranbir Josan, Grant Duffy, Melvin Jujjavarapu, Robert Siegel, Susan Cheng, James Y. Zou, David Ouyang
Publikováno v:
Nature, vol 616, iss 7957
Artificial intelligence (AI) has been developed for echocardiography1–3, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e16d95e9d6d33e4561a35c7dc343891
https://escholarship.org/uc/item/3qk1p4hn
https://escholarship.org/uc/item/3qk1p4hn
Publikováno v:
The Journal of Emergency Medicine.
Autor:
David Liang, Neeraj Rattehalli, Paul A. Heidenreich, James Zou, David Ouyang, Ishan Jain, Charles Pollick, Neal Yuan, Bryan He, Susan Cheng
Publikováno v:
JACC: Cardiovascular Imaging. 14:2260-2262
Autor:
Alma Andersson, Paul A. Khavari, Guy E. Boeckxstaens, James Zou, Reza Mirzazadeh, Joakim Lundeberg, Joseph Bergenstråhle, Kim Thrane, Jonas Maaskola, Xesús Abalo, Bryan He, Ludvig Larsson, Ludvig Bergenstråhle, Nathalie Stakenborg, Andrew L. Ji
Current methods for spatial transcriptomics are limited by low spatial resolution. Here we introduce a method that integrates spatial gene expression data with histological image data from the same tissue section to infer higher-resolution expression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8986085d538b10d42347ae185cc584de
https://lirias.kuleuven.be/handle/20.500.12942/686182
https://lirias.kuleuven.be/handle/20.500.12942/686182
Autor:
Grant Duffy, Paul P. Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang
Publikováno v:
JAMA cardiology. 7(4)
Early detection and characterization of increased left ventricular (LV) wall thickness can markedly impact patient care but is limited by under-recognition of hypertrophy, measurement error and variability, and difficulty differentiating causes of in