Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Vitaly, Herasevich"'
Autor:
Keivan Nalaie, Vitaly Herasevich, Laura M. Heier, Brian W. Pickering, Daniel Diedrich, Heidi Lindroth
Publikováno v:
Journal of Imaging, Vol 10, Iss 10, p 253 (2024)
The early detection of the acute deterioration of escalating illness severity is crucial for effective patient management and can significantly impact patient outcomes. Ambient sensing technology, such as computer vision, may provide real-time inform
Externí odkaz:
https://doaj.org/article/ac2641ef02e0488695d1ffb47cad4ea6
Autor:
Aysun Tekin, Mohammad Joghataee, Lucrezia Rovati, Hong Truong, Claudia Castillo-Zambrano, Kushagra Kushagra, Nasrin Nikravangolsefid, Mahmut Ozkan, Ashish Gupta, Vitaly Herasevich, Juan Domecq, John O’Horo, Ognjen Gajic
Publikováno v:
Biomolecules & Biomedicine (2024)
Diagnostic delay leads to poor outcomes in infections, and it occurs more often when the causative agent is unusual. Delays are attributable to failing to consider such diagnoses in a timely fashion. Using routinely collected electronic health record
Externí odkaz:
https://doaj.org/article/4f59d616f97146948aa63cb30040d1e4
Autor:
Jonathon W. Senefeld, PhD, Ellen K. Gorman, BS, Patrick W. Johnson, BS, M. Erin Moir, PhD, Stephen A. Klassen, PhD, Rickey E. Carter, PhD, Nigel S. Paneth, MD, David J. Sullivan, MD, Olaf H. Morkeberg, BA, R. Scott Wright, MD, DeLisa Fairweather, PhD, Katelyn A. Bruno, PhD, Shmuel Shoham, MD, Evan M. Bloch, MBChB, MS, Daniele Focosi, MD, Jeffrey P. Henderson, MD, PhD, Justin E. Juskewitch, MD, PhD, Liise-Anne Pirofski, MD, Brenda J. Grossman, MD, MPH, Aaron A.R. Tobian, MD, PhD, Massimo Franchini, MD, Ravindra Ganesh, MBBS, MD, Ryan T. Hurt, MD, PhD, Neil E. Kay, MD, Sameer A. Parikh, MBBS, Sarah E. Baker, PhD, Zachary A. Buchholtz, BS, Matthew R. Buras, BS, Andrew J. Clayburn, BS, Joshua J. Dennis, BS, Juan C. Diaz Soto, MD, Vitaly Herasevich, MD, PhD, Allan M. Klompas, MB, BCh, BAO, Katie L. Kunze, PhD, Kathryn F. Larson, MD, John R. Mills, PhD, Riley J. Regimbal, BS, Juan G. Ripoll, MD, Matthew A. Sexton, MD, John R.A. Shepherd, MD, James R. Stubbs, MD, Elitza S. Theel, PhD, Camille M. van Buskirk, MD, Noud van Helmond, MD, Matthew N.P. Vogt, MD, Emily R. Whelan, BS, Chad C. Wiggins, PhD, Jeffrey L. Winters, MD, Arturo Casadevall, MD, PhD, Michael J. Joyner, MD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 7, Iss 5, Pp 499-513 (2023)
Objective: To examine the association of COVID-19 convalescent plasma transfusion with mortality and the differences between subgroups in hospitalized patients with COVID-19. Patients and Methods: On October 26, 2022, a systematic search was performe
Externí odkaz:
https://doaj.org/article/dadeeaf646b74fc8991c25a417a35f18
Autor:
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, Anders F. Johansson, Anna Färnert, Mads Lause Mogensen, Brian W. Pickering, Vitaly Herasevich, Hercules Dalianis, Aron Henriksson, Pontus Nauclér
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Sepsis is a leading cause of mortality and early identification improves survival. With increasing digitalization of health care data automated sepsis prediction models hold promise to aid in prompt recognition. Most previous studies have fo
Externí odkaz:
https://doaj.org/article/eb4b6d338b0b42f0ad0a642e3488e295
Autor:
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, Ivan N. Ayala, Charles Busch, Anirban Bhattacharyya, Pablo Moreno Franco, Daniel A. Diedrich, Brian W. Pickering, Vitaly Herasevich
Publikováno v:
Journal of Imaging, Vol 10, Iss 4, p 81 (2024)
Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a sequence of images to recognize content, has been used extensively across industries in recent years. However, in the healthcare industry, its applications are
Externí odkaz:
https://doaj.org/article/4797fd2e320a460d93d47dd5280568aa
Autor:
Diana J. Valencia Morales, Vikas Bansal, Smith F. Heavner, Janna C. Castro, Mayank Sharma, Aysun Tekin, Marija Bogojevic, Simon Zec, Nikhil Sharma, Rodrigo Cartin-Ceba, Rahul S. Nanchal, Devang K. Sanghavi, Abigail T. La Nou, Syed A. Khan, Katherine A. Belden, Jen-Ting Chen, Roman R. Melamed, Imran A. Sayed, Ronald A. Reilkoff, Vitaly Herasevich, Juan Pablo Domecq Garces, Allan J. Walkey, Karen Boman, Vishakha K. Kumar, Rahul Kashyap
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundThe gold standard for gathering data from electronic health records (EHR) has been manual data extraction; however, this requires vast resources and personnel. Automation of this process reduces resource burdens and expands research opportu
Externí odkaz:
https://doaj.org/article/a42e1a5cbb834a23b56c9638bc61b114
Autor:
Yuliya Pinevich, Amelia K. Barwise, John Matthew Austin, Jalal Soleimani, Svetlana Herasevich, Sarah Redmond, Yue Dong, Vitaly Herasevich, Ognjen Gajic, Brian W. Pickering
Publikováno v:
Biomolecules & Biomedicine, Vol 23, Iss 4 (2023)
There is a lack of diagnostic performance measures associated with pulmonary embolism (PE). We aimed to explore the concept of the time to diagnostic certainty, which we defined as the time interval that elapses between first presentation of a patien
Externí odkaz:
https://doaj.org/article/b620e6588e68405e8f99a0effb0cb649
Autor:
Zhongheng Zhang, Lin Chen, Ping Xu, Qing Wang, Jianjun Zhang, Kun Chen, Casey M. Clements, Leo Anthony Celi, Vitaly Herasevich, Yucai Hong
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-10 (2022)
Abstract There is a large body of evidence showing that delayed initiation of sepsis bundle is associated with adverse clinical outcomes in patients with sepsis. However, it is controversial whether electronic automated alerts can help improve clinic
Externí odkaz:
https://doaj.org/article/0f274eab3e5b4c7081f5ba9e8f1982f2
Autor:
Svetlana Herasevich, MD, Yuliya Pinevich, MD, Kirill Lipatov, MD, Amelia K. Barwise, MB, BCh, BAO, PhD, Heidi L. Lindroth, PhD, RN, Allison M. LeMahieu, MS, Yue Dong, MD, Vitaly Herasevich, MD, PhD, Brian W. Pickering, MB, BCh, MS
Publikováno v:
Critical Care Explorations, Vol 5, Iss 5, p e0909 (2023)
OBJECTIVES:. To investigate whether a novel acute care multipatient viewer (AMP), created with an understanding of clinician information and process requirements, could reduce time to clinical decision-making among clinicians caring for populations o
Externí odkaz:
https://doaj.org/article/477ac4fb15ff4a32a9008bc5cc90d264
Autor:
Juan P. Garcia-Mendez, Amos Lal, Svetlana Herasevich, Aysun Tekin, Yuliya Pinevich, Kirill Lipatov, Hsin-Yi Wang, Shahraz Qamar, Ivan N. Ayala, Ivan Khapov, Danielle J. Gerberi, Daniel Diedrich, Brian W. Pickering, Vitaly Herasevich
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1155 (2023)
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical assessments, but its reliability depends on the operator. Machine learning (ML) models offer an alternative by automatically classifying lung sounds. ML models req
Externí odkaz:
https://doaj.org/article/b5748db8c3d64c80820866bf8ab05586