Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Eric A Geng"'
Autor:
Akiro H. Duey, Christopher Gonzalez, Eric A. Geng, Pierce J. Ferriter Jr, Ashley M. Rosenberg, Ula N. Isleem, Bashar Zaidat, Paul M. Al-Attar, Jonathan S. Markowitz, Jun S. Kim, Samuel K. Cho
Publikováno v:
Neurospine, Vol 19, Iss 4, Pp 927-934 (2022)
Objective Subsidence following anterior cervical discectomy and fusion (ACDF) may lead to disruptions of cervical alignment and lordosis. The purpose of this study was to evaluate the effect of subsidence on segmental, regional, and global lordosis.
Externí odkaz:
https://doaj.org/article/7f6786358bdf4f6ea936f96d651ce20d
Autor:
John T. Schwartz, Michael Gao, Eric A. Geng, Kush S. Mody, Christopher M. Mikhail, Samuel K. Cho
Publikováno v:
Neurospine, Vol 16, Iss 4, Pp 643-653 (2019)
Developments in machine learning in recent years have precipitated a surge in research on the applications of artificial intelligence within medicine. Machine learning algorithms are beginning to impact medicine broadly, and the field of spine surger
Externí odkaz:
https://doaj.org/article/3d1b58515df344a288354571e8ab91ac
Autor:
Eric A. Geng, Jonathan S. Gal, Jun S. Kim, Michael L. Martini, Jonathan Markowitz, Sean N. Neifert, Justin E. Tang, Kush C. Shah, Christopher A. White, Calista L. Dominy, Aly A. Valliani, Akiro H. Duey, Gavin Li, Bashar Zaidat, Brian Bueno, John M. Caridi, Samuel K. Cho
Publikováno v:
European Spine Journal.
Autor:
Eric A. Geng, Brian H. Cho, Aly A. Valliani, Varun Arvind, Akshar V. Patel, Samuel K. Cho, Jun S. Kim, Paul J. Cagle
Publikováno v:
Journal of orthopaedics. 35
Demand for total shoulder arthroplasty (TSA) has risen significantly and is projected to continue growing. From 2012 to 2017, the incidence of reverse total shoulder arthroplasty (rTSA) rose from 7.3 cases per 100,000 to 19.3 per 100,000. Anatomical
Autor:
Bashar Zaidat, Justin Tang, Varun Arvind, Eric A. Geng, Brian Cho, Akiro H. Duey, Calista Dominy, Kiehyun D. Riew, Samuel K. Cho, Jun S. Kim
Publikováno v:
Global Spine Journal. :219256822311649
Study Design Retrospective cohort. Objective Billing and coding-related administrative tasks are a major source of healthcare expenditure in the United States. We aim to show that a second-iteration Natural Language Processing (NLP) machine learning
Autor:
Aly A. Valliani, Nora C. Kim, Michael L. Martini, Jonathan S. Gal, Sean N. Neifert, Rui Feng, Eric A. Geng, Jun S. Kim, Samuel K. Cho, Eric K. Oermann, John M. Caridi
Publikováno v:
World neurosurgery. 165
Delays in postoperative referrals to rehabilitation or skilled nursing facilities contribute toward extended hospital stays. Facilitating more efficient referrals through accurate preoperative prediction algorithms has the potential to reduce unneces
Autor:
Jun S. Kim, Andrew Vivas, Varun Arvind, Joseph Lombardi, Jay Reidler, Scott L Zuckerman, Nathan J. Lee, Meghana Vulapalli, Eric A Geng, Brian H. Cho, Kazuaki Morizane, Samuel K. Cho, Ronald A. Lehman, Lawrence G. Lenke, Kiehyun Daniel Riew
Publikováno v:
Global spine journal.
Study Design Retrospective Cohort Study. Objectives Using natural language processing (NLP) in combination with machine learning on standard operative notes may allow for efficient billing, maximization of collections, and minimization of coder error
Autor:
Nicholas L. Pitaro, Justin E. Tang, Varun Arvind, Brian H. Cho, Eric A. Geng, Uchechukwu O. Amakiri, Samuel K. Cho, Jun S. Kim
Publikováno v:
Global Spine Journal. :219256822110391
Study Design: Retrospective cohort study. Objectives: Spinal epidural abscess (SEA) is a rare but potentially life-threatening infection treated with antimicrobials and, in most cases, immediate surgical decompression. Previous studies comparing medi