Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Andrew S Tseng"'
Publikováno v:
Pain Research and Management, Vol 19, Iss 4, Pp 219-223 (2014)
BACKGROUND: Pediatric chronic pain is a common problem with significant economic implications and devastating consequences on quality of life. The present report describes a case involving a 15-year-old girl with severe and debilitating chronic pain.
Externí odkaz:
https://doaj.org/article/bf6683128b9147ac8c3ef7bd27e3937a
Autor:
Andrew S. Tseng, Harsh P. Patel, Ashish Kumar, Chinmay Jani, Kirtenkumar Patel, Rahul Jaswaney, Samarthkumar Thakkar, Narayan G. Kowlgi, Sourbha S. Dani, Shilpkumar Arora, Siva K. Mulpuru, Malini Madhavan, Ammar M. Killu, Yong-mei Cha, Christopher V. DeSimone, Abhishek Deshmukh
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Atrial fibrillation (AF) is relatively less frequent in younger patients (age
Externí odkaz:
https://doaj.org/article/2f1737be467f4790b562a873b7408713
Autor:
Andrew S. Tseng, Peter A. Noseworthy
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
There has been recent immense interest in the use of machine learning techniques in the prediction and screening of atrial fibrillation, a common rhythm disorder present with significant clinical implications primarily related to the risk of ischemic
Externí odkaz:
https://doaj.org/article/2bf95d47b9cd431289c37d117c210625
Autor:
Andrew S. Tseng, Umama S. Gorsi, Sergio Barros-Gomes, Fletcher A. Miller, Patricia A. Pellikka, Alfredo L. Clavell, Hector R. Villarraga
Publikováno v:
BMC Cardiovascular Disorders, Vol 18, Iss 1, Pp 1-6 (2018)
Abstract Background Noninvasive diagnosis of allograft rejection in heart transplant recipients is challenging. The utility of 2-dimensional speckle-tracking echocardiography (2D-STE) to predict severe rejection in heart transplant recipients with pr
Externí odkaz:
https://doaj.org/article/ae738bf81a7a4bf98e4703c94f052055
Autor:
John P, Bretzman, Andrew S, Tseng, Jonathan, Graff-Radford, Hon-Chi, Lee, Samuel J, Asirvatham, Michelle M, Mielke, David S, Knopman, Ronald C, Petersen, Clifford R, Jack, Prashanthi, Vemuri, Alejandro A, Rabinstein, Christopher V, DeSimone
Publikováno v:
Cardiology Journal. 29:766-772
The CHA2DS2-VASc score does not include silent infarcts on neuroimaging in stroke risk estimation for patients with atrial fibrillation (AF). The inclusion of silent infarcts into CHA2DS2-VASc scoring and its impact on stroke prophylaxis recommendati
Publikováno v:
Journal of the American Society of Echocardiography. 35:878-882
Autor:
Brandon Nokes, Andrew S. Tseng, Rodrigo Cartin-Ceba, Fadi Shamoun, Clinton Jokerst, Lester Mertz
Publikováno v:
Respiratory Medicine Case Reports, Vol 25, Iss , Pp 52-54 (2018)
Behçet disease is a rare multisystem condition associated with HLA-B51 positivity that commonly afflicts individuals of Turkish or Middle Eastern descent, less than 10% of whom have pulmonary involvement. Behçet-related pulmonary vasculitis is an u
Externí odkaz:
https://doaj.org/article/cdcbda619d744d508f1f09fb86b7a16b
Autor:
Fatima Ezzeddine, Freddy Del Carpio Munoz, Andrew S. Tseng, Ammar M. Killu, John R. Giudicessi, Qiying Dai, Abhishek J. Deshmukh, Ciorsti MacIntyre, Peter A. Noseworthy, Michael J. Ackerman, Samuel J. Asirvatham, Konstantinos C. Siontis
Publikováno v:
Heart Rhythm. 20:S569-S570
Publikováno v:
Mayo Clinic Proceedings. 96:2230-2242
The management of atrial fibrillation (AF) in the outpatient setting has become more complex with the utilization of antiarrhythmic drugs (AADs) and increasing complexity of comorbid conditions. The primary care clinician is critically involved in th
Autor:
Jae K. Oh, Francisco Lopez-Jimenez, Andrew S. Tseng, Michal Shelly-Cohen, Peter A. Noseworthy, Paul A. Friedman, Itzhak Zachi Attia
Publikováno v:
European Heart Journal - Digital Health. 2:561-567
Aims Spectrum bias can arise when a diagnostic test is derived from study populations with different disease spectra than the target population, resulting in poor generalizability. We used a real-world artificial intelligence (AI)-derived algorithm t