Zobrazeno 1 - 10 of 31 pro vyhledávání: '"Sai K Devana"'
1
Akademický článek
Increasing Rate of Shoulder Arthroplasty for Geriatric Proximal Humerus Fractures in the United States, 2010–2019
Autor: Brendan Y Shi, Alexander Upfill-Brown, Benjamin V Kelley, Dane J Brodke, Erik N Mayer, Sai K Devana, Thomas J Kremen, Christopher Lee
Publikováno v: Journal of Shoulder and Elbow Arthroplasty, Vol 6 (2022)
Introduction The two historically dominant surgical options for displaced geriatric proximal humerus (PHFx) fractures are open reduction internal fixation (ORIF) and hemiarthroplasty (HA). However, shoulder arthroplasty (SA), predominantly in the for
Externí odkaz: https://doaj.org/article/dff1d41c1f3a4692bd968fb27df0e103
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2
Akademický článek
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements
Autor: Sai K Devana, Akash A Shah, Changhee Lee, Andrew R Jensen, Edward Cheung, Mihaela van der Schaar, Nelson F SooHoo
Publikováno v: Journal of Shoulder and Elbow Arthroplasty, Vol 6 (2022)
Background The demand and incidence of anatomic total shoulder arthroplasty (aTSA) procedures is projected to increase substantially over the next decade. There is a paucity of accurate risk prediction models which would be of great utility in minimi
Externí odkaz: https://doaj.org/article/8b7ae52f1a1b4cb2b761764d1fbdb22b
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3
Akademický článek
Outcomes of Modular Knee Arthrodesis for Challenging Periprosthetic Joint Infections
Autor: Alexandra I. Stavrakis, MD, Erik N. Mayer, MD, Sai K. Devana, MD, Madhav Chowdhry, MD, Matthew V. Dipane, BS, Edward J. McPherson, MD
Publikováno v: Arthroplasty Today, Vol 13, Iss , Pp 199-204 (2022)
Background: Modular knee arthrodesis (MKA) is a salvage treatment option for patients with challenging periprosthetic joint infections (PJI). The purpose of this study was to investigate the outcomes of patients who underwent MKA for PJI with a singl
Externí odkaz: https://doaj.org/article/3355f1c4798c4dc5952d29a879f4cd65
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4
Akademický článek
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty
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
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6
Cost-effectiveness of fixation versus arthroplasty for geriatric distal femur fractures
Autor: Dane J Brodke, Sai K. Devana, Christopher Lee, Alexander Upfill-Brown
Publikováno v: Injury. 53:661-668
Introduction: Geriatric distal femur fractures are challenging to treat. The high mortality rate associated with a loss of mobility in this population has led some authors to compare distal femur fractures to femoral neck fractures with respect to th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba8b1ff479aefff7fcb027651f311e7
https://doi.org/10.1016/j.injury.2021.11.054
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8
Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c2d47d55b102dc51743d949c4497f01
https://doi.org/10.1007/s00586-021-06961-7
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9
Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning–Driven Approach
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72a30ab0c69febdd5d2b6c41929591b2
https://doi.org/10.1016/j.wneu.2021.05.080
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10
A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty
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)
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a04f7e6313c47cc01bc8253e81450031
http://europepmc.org/articles/PMC8349766
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