Zobrazeno 1 - 10
of 1 386
pro vyhledávání: '"Jagat, Narula"'
Autor:
Bruna Punzo, Liberatore Tramontano, Alberto Clement, Sara Seitun, Erica Maffei, Luca Saba, Carlo Nicola De Cecco, Eduardo Bossone, Jagat Narula, Carlo Cavaliere, Filippo Cademartiri
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 53, Iss , Pp 101437- (2024)
Background and aims: Cardiac ParaGangliomas (PGLs) are rare extra-adrenal tumours that arise from chromaffin cells of the sympathetic ganglia. PGL are often diagnosed incidentally, with no symptoms or symptoms related to cardiovascular dysfunction. M
Externí odkaz:
https://doaj.org/article/f35e11df5e5641ff88548d7b53bb1f32
Autor:
Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Jagat Narula, Benjamin Glicksberg, Girish N Nadkarni
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical problems may result in suboptimal
Externí odkaz:
https://doaj.org/article/91be2fa3a0f7494c9d9c088a378a693d
Autor:
Son Q. Duong, Akhil Vaid, Vy Thi Ha My, Liam R. Butler, Joshua Lampert, Robert H. Pass, Alexander W. Charney, Jagat Narula, Rohan Khera, Ankit Sakhuja, Hayit Greenspan, Bruce D. Gelb, Ron Do, Girish N. Nadkarni
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 1 (2024)
Background Right ventricular ejection fraction (RVEF) and end‐diastolic volume (RVEDV) are not readily assessed through traditional modalities. Deep learning–enabled ECG analysis for estimation of right ventricular (RV) size or function is unexpl
Externí odkaz:
https://doaj.org/article/5493fdcd7dd54c148a3db367814dc8e4
Autor:
Akhil Vaid, Edgar Argulian, Stamatios Lerakis, Brett K. Beaulieu-Jones, Chayakrit Krittanawong, Eyal Klang, Joshua Lampert, Vivek Y. Reddy, Jagat Narula, Girish N. Nadkarni, Benjamin S. Glicksberg
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-12 (2023)
Vaid et al performed a multi-center retrospective cohort study using electrocardiograms from patients with mitral regurgitation to train a deep learning model to detect valvular disease and validated it in externally. They demonstrate the model could
Externí odkaz:
https://doaj.org/article/00e8d1d949bb475cab324fb51110a6c9
Publikováno v:
RUHS Journal of Health Sciences (2023)
Not available
Externí odkaz:
https://doaj.org/article/94f6a169594d4f128dce6561824aa0e2
Autor:
Ki-Bum Won, Byoung Kwon Lee, Fay Y. Lin, Martin Hadamitzky, Yong-Jin Kim, Ji Min Sung, Edoardo Conte, Daniele Andreini, Gianluca Pontone, Matthew J. Budoff, Ilan Gottlieb, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Pedro de Araújo Gonçalves, Jonathon A. Leipsic, Sang-Eun Lee, Sanghoon Shin, Jung Hyun Choi, Renu Virmani, Habib Samady, Kavitha Chinnaiyan, Daniel S. Berman, Jagat Narula, Leslee J. Shaw, Jeroen J. Bax, James K. Min, Hyuk-Jae Chang
Publikováno v:
Cardiovascular Diabetology, Vol 21, Iss 1, Pp 1-8 (2022)
Abstract Background The baseline coronary plaque burden is the most important factor for rapid plaque progression (RPP) in the coronary artery. However, data on the independent predictors of RPP in the absence of a baseline coronary plaque burden are
Externí odkaz:
https://doaj.org/article/d93ca1bca38d4ec0bbd86a3ff386548a
Autor:
Teuku Muhammad Haykal Putra, Rodrigo Rodriguez-Fernandez, Wishnu Aditya Widodo, Maria Elfiana, Sidhi Laksono, Quang Ngoc Nguyen, Jack Wei Chieh Tan, Jagat Narula
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
Rheumatic heart disease (RHD) remains a significant cardiovascular burden in the world even though it is no longer common in affluent countries. Centuries of history surrounding this disease provide us with a thorough understanding of its pathophysio
Externí odkaz:
https://doaj.org/article/359d00a1528e4e8bb45a1af28d480ebf
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/152e3eb36d6a4d6ba145c61930373f81
Autor:
Christina Wurst, Frank Maixner, Alice Paladin, Alexandra Mussauer, Guido Valverde, Jagat Narula, Randall Thompson, Albert Zink
Publikováno v:
Annals of Global Health, Vol 90, Iss 1, Pp 6-6 (2024)
Background: Several computed tomographic studies have shown the presence of atherosclerosis in ancient human remains. However, while it is important to understand the development of atherosclerotic cardiovascular disease (ASCVD), genetic data concern
Externí odkaz:
https://doaj.org/article/3f3e3bd292204ad4911fd7469cb57c37
Autor:
Mariachiara Di Cesare, Pablo Perel, Sean Taylor, Chodziwadziwa Kabudula, Honor Bixby, Thomas A. Gaziano, Diana Vaca McGhie, Jeremiah Mwangi, Borjana Pervan, Jagat Narula, Daniel Pineiro, Fausto J. Pinto
Publikováno v:
Global Heart, Vol 19, Iss 1, Pp 11-11 (2024)
Cardiovascular diseases (CVDs) are the leading cause of mortality globally. Of the 20.5 million CVD-related deaths in 2021, approximately 80% occurred in low- and middle-income countries. Using data from the Global Burden of Disease Study, NCD Risk F
Externí odkaz:
https://doaj.org/article/b38dada1dca347af9f326ef591c857d6