Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Nelson F. Soohoo"'
Autor:
John A. Mccullough, Brandon T. Peterson, Alexander M. Upfill-Brown, Thomas J. Hardin, Jonathan B. Hopkins, Nelson F. Soohoo, Tyler R. Clites
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 314-327 (2024)
The longevity of current joint replacements is limited by aseptic loosening, which is the primary cause of non-infectious failure for hip, knee, and ankle arthroplasty. Aseptic loosening is typically caused either by osteolysis from particulate wear,
Externí odkaz:
https://doaj.org/article/d3dd36d7e393481faae4d0442b800afd
Autor:
Sai K. Devana, MD, Akash A. Shah, MD, Changhee Lee, MS, Andrew R. Roney, BA, Mihaela van der Schaar, PhD, Nelson F. SooHoo, MD
Publikováno v:
Arthroplasty Today, Vol 10, Iss , Pp 135-143 (2021)
Background: There remains a lack of accurate and validated outcome-prediction models in total knee arthroplasty (TKA). While machine learning (ML) is a powerful predictive tool, determining the proper algorithm to apply across diverse data sets is ch
Externí odkaz:
https://doaj.org/article/90e69fc227b24ae1950ba1ae0f477381
Publikováno v:
Foot & Ankle Orthopaedics, Vol 7 (2022)
Category: Ankle Arthritis; Ankle Introduction/Purpose: Ankle arthrodesis and total ankle replacement are the most commonly performed procedures for surgical management of ankle arthritis. Arthrodesis provides effective pain relief but the rate of com
Externí odkaz:
https://doaj.org/article/236e420adbb94ae8adf30b12d84765d6
Autor:
Sai K. Devana , MD, Akash A. Shah , MD, Changhee Lee , BS, Varun Gudapati , MD, Andrew R. Jensen , MD, Edward Cheung , MD, Carlos Solorzano , BS, Mihaela van der Schaar , PhD, Nelson F. SooHoo , MD
Publikováno v:
Journal of Shoulder and Elbow Arthroplasty, Vol 5 (2021)
Background Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of complex pathologies beyond the scope of anatomic total shoulder arthroplasty but is associated with a higher rate of major postoperative complication
Externí odkaz:
https://doaj.org/article/f06ac149452a4beda76e95d3a85d5698
Autor:
Ryan Kandrack, Ateev Mehrotra, Andrea DeVries, Sze-jung Wu, Nelson F. SooHoo, Grant R. Martsolf
Publikováno v:
Health Services Research & Managerial Epidemiology, Vol 2 (2015)
Health plans are encouraging consumerism among joint replacement patients by reporting information on hospital costs and quality. Little is known about how the proliferation of such initiatives impacts patients’ selection of a surgeon and hospital.
Externí odkaz:
https://doaj.org/article/6e67327ab98d4c348a2a4a1800e11372
Autor:
Akash A. Shah, Sai K. Devana, Changhee Lee, Thomas E. Olson, Alexander Upfill-Brown, William L. Sheppard, Elizabeth L. Lord, Arya N. Shamie, Mihaela van der Schaar, Nelson F. SooHoo, Don Y. Park
Publikováno v:
Spine. 48:460-467
Autor:
Brenda C Iglesias, Benjamin C. Bengs, Nelson F. SooHoo, Rafael A. Buerba, Hajun Jeong, Don P. Sanders
Publikováno v:
Journal of the National Medical Association. 113:693-700
Introduction Previous research has shown that patients from historically marginalized groups in the United States tend to have poorer outcomes after joint replacement surgery and that they are less likely to receive joint replacement surgery at high-
Autor:
Nelson F. SooHoo, Arya Nick Shamie, Akash A. Shah, Changhee Lee, Amador Bugarin, Mihaela van der Schaar, Don Y. Park, Elizabeth L. Lord, Sai K. Devana
Publikováno v:
European Spine Journal. 31:1952-1959
Posterior cervical fusion is associated with increased rates of complications and readmission when compared to anterior fusion. Machine learning (ML) models for risk stratification of patients undergoing posterior cervical fusion remain limited. We a
Autor:
Amador Bugarin, Don Y. Park, Nelson F. SooHoo, Akash A. Shah, Mihaela van der Schaar, Arya Nick Shamie, Changhee Lee, Sai K. Devana, Elizabeth L. Lord
Publikováno v:
World Neurosurg
Background Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readmi
Autor:
Mihaela van der Schaar, Sai K. Devana, Changhee Lee, Nelson F. SooHoo, BA Andrew R. Roney, Akash A. Shah
Publikováno v:
Arthroplasty Today
Arthroplasty Today, Vol 10, Iss, Pp 135-143 (2021)
Arthroplasty Today, Vol 10, Iss, Pp 135-143 (2021)
Background There remains a lack of accurate and validated outcome-prediction models in total knee arthroplasty (TKA). While machine learning (ML) is a powerful predictive tool, determining the proper algorithm to apply across diverse data sets is cha