Zobrazeno 1 - 10
of 314
pro vyhledávání: '"Rohan, Khera"'
Autor:
Daniel McIntyre, Desi Quintans, Samia Kazi, Haeri Min, Wen-Qiang He, Simone Marschner, Rohan Khera, Natasha Nassar, Clara K. Chow
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Healthcare policy implemented during the COVID-19 pandemic may have impacted the health of patients with heart failure. Australian data provide a unique opportunity to examine service disruption independent of significant COVID-19
Externí odkaz:
https://doaj.org/article/68306260d5da4a51a37b3c8cfc16e754
Autor:
Joy Jiang, Ha My Thi Vy, Alexander Charney, Patricia Kovatch, Vivek Reddy, Pushkala Jayaraman, Ron Do, Rohan Khera, Sumeet Chugh, Deepak L. Bhatt, Akhil Vaid, Joshua Lampert, Girish Nitin Nadkarni
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electroca
Externí odkaz:
https://doaj.org/article/c3095c9ccf2744c5b99f47dacda150b2
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-10 (2024)
Abstract Background Advances in self-supervised learning (SSL) have enabled state-of-the-art automated medical image diagnosis from small, labeled datasets. This label efficiency is often desirable, given the difficulty of obtaining expert labels for
Externí odkaz:
https://doaj.org/article/e689effff1514b029f5428764ad74f65
Autor:
Gilbert J. L’Italien, Evangelos K. Oikonomou, Rohan Khera, Michele H. Potashman, Melissa W. Beiner, Grant D. H. Maclaine, Jeremy D. Schmahmann, Susan Perlman, Vladimir Coric
Publikováno v:
Neurology and Therapy, Vol 13, Iss 4, Pp 1287-1301 (2024)
Abstract Introduction Traditional methods for assessing movement quality rely on subjective standardized scales and clinical expertise. This limitation creates challenges for assessing patients with spinocerebellar ataxia (SCA), in whom changes in mo
Externí odkaz:
https://doaj.org/article/e65dfa5c2a1c488283098a6bda2608dc
Autor:
Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine learning (ML) strategy of adaptive predictive enrichment through computational trial phenomap
Externí odkaz:
https://doaj.org/article/e5b6bceab7c2410fa2b117628815a86b
Autor:
Evangelos K. Oikonomou, Rohan Khera
Publikováno v:
Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-16 (2023)
Abstract Artificial intelligence and machine learning are driving a paradigm shift in medicine, promising data-driven, personalized solutions for managing diabetes and the excess cardiovascular risk it poses. In this comprehensive review of machine l
Externí odkaz:
https://doaj.org/article/448d7a1254764961af9724201a269b4f
Autor:
Akshay Khunte, Veer Sangha, Evangelos K. Oikonomou, Lovedeep S. Dhingra, Arya Aminorroaya, Bobak J. Mortazavi, Andreas Coppi, Cynthia A. Brandt, Harlan M. Krumholz, Rohan Khera
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Artificial intelligence (AI) can detect left ventricular systolic dysfunction (LVSD) from electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but frequently obtain noisy ECGs. We report a novel strategy that
Externí odkaz:
https://doaj.org/article/bc72dcbb5b9b4b829b83aa979048b9d8
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:
Claudia See, Kevin M. Wheelock, César Caraballo, Rohan Khera, Amarnath Annapureddy, Shiwani Mahajan, Yuan Lu, Harlan M. Krumholz, Karthik Murugiah
Publikováno v:
American Journal of Medicine Open, Vol 10, Iss , Pp 100048- (2023)
Background: Studies show that digoxin use is declining but is still prevalent. Recent data on digoxin prescription and characteristics of digoxin prescribers are unknown, which can help understand its contemporary use. Methods: Using Medicare Part D
Externí odkaz:
https://doaj.org/article/19a23c86afbe4a689972a76066e86984
Autor:
Javier Valero-Elizondo, Zulqarnain Javed, Rohan Khera, Mauricio E. Tano, Ramzi Dudum, Isaac Acquah, Adnan A. Hyder, Julia Andrieni, Garima Sharma, Michael J. Blaha, Salim S. Virani, Ron Blankstein, Miguel Cainzos-Achirica, Khurram Nasir
Publikováno v:
Archives of Public Health, Vol 80, Iss 1, Pp 1-12 (2022)
Abstract Background Atherosclerotic cardiovascular disease (ASCVD) is a major cause of financial toxicity, defined as excess financial strain from healthcare, in the US. Identifying factors that put patients at greatest risk can help inform more targ
Externí odkaz:
https://doaj.org/article/a481ae7eec3d4545aea9bd01cd341d27