Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Andrew Yoo"'
Autor:
Sanket S. Dhruva, Joseph S. Ross, Joseph G. Akar, Brittany Caldwell, Karla Childers, Wing Chow, Laura Ciaccio, Paul Coplan, Jun Dong, Hayley J. Dykhoff, Stephen Johnston, Todd Kellogg, Cynthia Long, Peter A. Noseworthy, Kurt Roberts, Anindita Saha, Andrew Yoo, Nilay D. Shah
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
Abstract Real-world data sources, including electronic health records (EHRs) and personal digital device data, are increasingly available, but are often siloed and cannot be easily integrated for clinical, research, or regulatory purposes. We conduct
Externí odkaz:
https://doaj.org/article/5e07bfbeda874cca845ab8814d561e86
Publikováno v:
JOR Spine, Vol 4, Iss 3, Pp n/a-n/a (2021)
Abstract Background Adolescent idiopathic scoliosis (AIS) is a condition resulting in spinal deformity and tissue adaptation of the paraspinal muscles. Although prior studies have demonstrated asymmetries in fiber type and other energetic features of
Externí odkaz:
https://doaj.org/article/0bf7cedf8ba7441c9c96c04e961f8e4c
Autor:
Iftekhar Kalsekar, Chia-Wen Hsiao, Hang Cheng, Sashi Yadalam, Brian Po-Han Chen, Laura Goldstein, Andrew Yoo
Publikováno v:
Health Economics Review, Vol 7, Iss 1, Pp 1-13 (2017)
Abstract Objectives To determine hospital resource utilization, associated costs and the risk of complications during hospitalization for four types of surgical resections and to estimate the incremental burden among patients with cancer compared to
Externí odkaz:
https://doaj.org/article/689e7b10185f4261a3760a50e3ff6870
Autor:
Andrew Yoo, Seong Won Lee, Young Mi Oh, Matheus Victor, Ilya Strunilin, Shawei Chen, Sonika Dahiya, Roland Dolle, Stephen Pak, Gary Silverman, David Perlmutter
Aging is a common risk factor in neurodegenerative disorders and the ability to investigate aging of neurons in an isogenic background would facilitate discovering the interplay between neuronal aging and onset of neurodegeneration. Here, we perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7540a5ce099a78e26bd49ce9919ec47
https://doi.org/10.21203/rs.3.rs-2815300/v1
https://doi.org/10.21203/rs.3.rs-2815300/v1
Autor:
Siyu Meng, Benjamin G. M. Webber, David P. Stevens, Manoj Joshi, Julien Palmieri, Andrew Yool
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Chlorophyll in phytoplankton absorbs solar radiation (SR) and affects the thermal structure and dynamics within upwelling regions. However, research on this process across global‐scale coastal upwelling systems is still lacking. Here, we u
Externí odkaz:
https://doaj.org/article/7a906046ef52478b8319a1b3997eb04b
Correlation between operative time and crowd-sourced skills assessment for robotic bariatric surgery
Autor:
Samuel P. Dechario, Mark Jarrett, Andrew Yoo, Jermyn Addy, Jacqueline Duarte-Ramos, Anthony C. Antonacci, Poppy Addison, Filippo Filicori, Gregg Husk, Julio Teixeira
Publikováno v:
Surgical Endoscopy. 35:5303-5309
Operative time has been traditionally used as a proxy for surgical skill and is commonly utilized to measure the learning curve, assuming that faster operations indicate a more skilled surgeon. The Global Evaluative Assessment of Robotic Skills (GEAR
Publikováno v:
Pharmacoepidemiology and Drug Safety. 29:369-379
Purpose The collection and analysis of real-world data for the active monitoring of medical device performance and safety has become increasingly important. Spontaneous reports, such as those in the Food & Drug Administration's (FDA's) Manufacturer a
Publikováno v:
HotOS
The need for fail-slow fault tolerance in modern distributed systems is highlighted by the increasingly reported fail-slow hardware/software components that lead to poor performance system-wide. We argue that fail-slow fault tolerance not only needs
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Purpose Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus on utilizing a convolutional neural network and a recurrent neural network (CNN–RNN) to solve the
Correlation between operative time and crowd-sourced skills assessment for robotic bariatric surgery
Autor:
Poppy, Addison, Andrew, Yoo, Jacqueline, Duarte-Ramos, Jermyn, Addy, Samuel, Dechario, Gregg, Husk, Mark, Jarrett, Julio, Teixeira, Anthony, Antonacci, Filippo, Filicori
Publikováno v:
Surgical endoscopy. 35(9)
Operative time has been traditionally used as a proxy for surgical skill and is commonly utilized to measure the learning curve, assuming that faster operations indicate a more skilled surgeon. The Global Evaluative Assessment of Robotic Skills (GEAR