Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Evangelos Hytopoulos"'
Autor:
Hannah T. Schwennesen, MD, Zhen Li, PhD, MS, Bradley G. Hammill, DrPH, Amy G. Clark, PhD, Sean Pokorney, MD, MBA, Evangelos Hytopoulos, PhD, Mintu P. Turakhia, MD, MAS, Justin Cambra, MBA, Jonathan P. Piccini, MD, MHSc
Publikováno v:
JACC: Advances, Vol 3, Iss 11, Pp 101340- (2024)
Background: Despite clear associations between arrhythmia burden and cardiovascular risk, clinical risk scores that predict cardiovascular events do not incorporate individual-level arrhythmia characteristics from long-term continuous monitoring (LTC
Externí odkaz:
https://doaj.org/article/fcc7be6d829a48ff8018377d325e2508
Autor:
Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Early identification of atrial fibrillation (AF) can reduce the risk of stroke, heart failure, and other serious cardiovascular outcomes. However, paroxysmal AF may not be detected even after a two-week continuous monitoring period. We devel
Externí odkaz:
https://doaj.org/article/b958c3177b104b1d89fc1d6e2659a360
Autor:
Sarah N Dudgeon, Si Wen, Matthew G Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal Marble, Richard Huang, Markus D Herrmann, Clifford H Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie Chen, Rajendra Singh, Steven N Hart, Ashish Sharma, Joel Saltz, Roberto Salgado, Brandon D Gallas
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 45-45 (2021)
Purpose: Validating artificial intelligence algorithms for clinical use in medical images is a challenging endeavor due to a lack of standard reference data (ground truth). This topic typically occupies a small portion of the discussion in research p
Externí odkaz:
https://doaj.org/article/d995816493cc41658ea373f1df2d7e73
Autor:
Katherine Elfer, Sarah Dudgeon, Victor Garcia, Kim Blenman, Evangelos Hytopoulos, Si Wen, Xiaoxian Li, Amy Ly, Bruce Werness, Manasi S. Sheth, Mohamed Amgad, Rajarsi Gupta, Joel Saltz, Matthew G. Hanna, Anna Ehinger, Dieter Peeters, Roberto Salgado, Brandon D. Gallas
Publikováno v:
Journal of Medical Imaging
Purpose: Validation of artificial intelligence (AI) algorithms in digital pathology with a reference standard is necessary before widespread clinical use, but few examples focus on creating a reference standard based on pathologist annotations. This
Autor:
Weijie Chen, Clifford H. Szu, Si Wen, Anant Madabhushi, Roberto Salgado, Rajarsi Gupta, Ashish Sharma, Evan Szu, Joel H. Saltz, Hetal D. Marble, Bruce Werness, Darick Tong, Rajendra Singh, Richard Huang, Steven N Hart, Sarah N Dudgeon, Brandon D. Gallas, Mohamed Amgad, Matthew G. Hanna, Denis Larsimont, Markus D. Herrmann, Evangelos Hytopoulos, Manasi Sheth
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 45-45 (2021)
Journal of Pathology Informatics
Journal of Pathology Informatics
Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data collection and evaluation of algorithm performance in the context of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad01234326d9d10a21027108b9ef528e
http://arxiv.org/abs/2010.06995
http://arxiv.org/abs/2010.06995
Autor:
Donna Hongo, Edna Chen, Kavita Chalasani, Reggie Nijor, Joshua Y. C. Yang, Lucy H Lu, Reuben D. Sarwal, Shih-Jwo Huang, Todd Whitson, Phoebe Katzenbach, Minnie M. Sarwal, Corinne Mark, Robert J X Zawada, Evangelos Hytopoulos, David Savoca, Katherine Valdivieso, Niamh Nolan, David S Wexler, Gladys Lugtu, Rekha Mani
Publikováno v:
Journal of clinical medicine, vol 9, iss 8
Journal of Clinical Medicine
Volume 9
Issue 8
Journal of Clinical Medicine, Vol 9, Iss 2325, p 2325 (2020)
Journal of Clinical Medicine
Volume 9
Issue 8
Journal of Clinical Medicine, Vol 9, Iss 2325, p 2325 (2020)
In this clinical validation study, we developed and validated a urinary Q-Score generated from the quantitative test QSant, formerly known as QiSant, for the detection of biopsy-confirmed acute rejection in kidney transplants. Using a cohort of 223 d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcd1b8498f7d1e2896cf929b1f22f617
https://escholarship.org/uc/item/0br2b4sh
https://escholarship.org/uc/item/0br2b4sh
Publikováno v:
Journal of Medical Economics. 17:132-141
The goal of this study is to determine the cost-effectiveness of MIRISK VP, a next generation coronary heart disease risk assessment score, in correctly reclassifying and appropriately treating asymptomatic, intermediate risk patients.A Markov model
Autor:
Thomas Quertermous, Cynthia French, Evangelos Hytopoulos, Michael Beggs, Douglas S Harrington, Matthew D. Solomon, Ahalya Tirupsur
Publikováno v:
Clinical Cardiology
Background Current coronary heart disease (CHD) risk assessments inadequately assess intermediate-risk patients, leaving many undertreated and vulnerable to heart attacks. A novel CHD risk-assessment (CHDRA) tool was developed for intermediate-risk s
Autor:
Swathi Vijayakumar, Lilian Tee, Ivana Burazor, Cynthia French, Michael Beggs, Niamh Nolan, Douglas S Harrington, Evangelos Hytopoulos, William H Biggs
Publikováno v:
Expert Opinion on Medical Diagnostics. 7:127-136
Coronary heart disease (CHD) remains prevalent despite efforts to improve CHD risk assessment. The authors developed a multi-analyte immunoassay-based CHD risk assessment (CHDRA) algorithm, clinically validated in a multicenter study, to improve CHDR
Autor:
Drew Watson, Marsha N. Blauwkamp, Clare L. Fasching, Calvin B. Harley, Jue Lin, Karl J. Guegler, Evangelos Hytopoulos
Publikováno v:
The journal of applied laboratory medicine. 2(1)
Background Average telomere length in whole blood has become a biomarker of aging, disease, and mortality risk across a broad range of clinical conditions. The most common method of telomere length measurement for large patient sample sets is based o