Výsledky vyhledávání - "Nelson F. SooHoo , MD"

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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Akademický článek

Short-Term Outcomes and Long-Term Implant Survival After Inpatient Surgical Management of Geriatric Proximal Humerus Fractures

Autor: Brendan Y Shi MD, Alexander Upfill-Brown MD, MSc, Shannon Y Wu BS, Rishi Trikha MD, Seth Ahlquist MD, Thomas J Kremen MD, Christopher Lee MD, Nelson F SooHoo MD

Publikováno v: Journal of Shoulder and Elbow Arthroplasty, Vol 7 (2023)

Introduction The most common surgical options for geriatric proximal humerus fractures are open reduction and internal fixation (ORIF), hemiarthroplasty (HA), and reverse total shoulder arthroplasty. We used a longitudinal inpatient discharge databas

Externí odkaz: https://doaj.org/article/ff923c7d0967494fbb528afdf5f17238

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Akademický článek

A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty

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

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Akademický článek

Development of a Machine Learning Algorithm for Prediction of Complications after Ankle Arthrodesis

Autor: Amador Bugarin, Akash A. Shah, Sai Devana MD, Changhee Lee, Nelson F. SooHoo MD

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

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