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Profil bibliographique

Josie Elwell

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

54Publications signalées
494Citations signalées
6Affiliations récentes

Les institutions déclarées

Les domaines associés

Shoulder Injury and TreatmentShoulder and Clavicle InjuriesTotal Knee Arthroplasty OutcomesAnesthesia and Pain ManagementNerve Injury and Rehabilitation

Les publications récentes

2026 article OpenAlex

Revision Risk Following Primary Anatomic and Reverse TSA with an Exactech Equinoxe Compared with Other Devices

Heather A. Prentice, Richard N. Chang, Edward H. Yian, Ronald A. Navarro et autres

BACKGROUND: In 2024, Exactech issued a voluntary recall of Equinoxe devices after finding that some devices had been packaged in bags that were non-conforming because a secondary oxygen barrier layer of ethylene vinyl alcohol was missing. We sought to evaluate the revision …

gb, us (code pays fourni par la source)

0 citations Journal of Bone and Joint Surgery
Accès ouvert 2026 article OpenAlex

Navigation-recorded plan execution in augmented total shoulder arthroplasty using the Advita GPS system and implant platform

Roy Romem, Tej Joshi, François Boux de Casson, Josie Elwell et autres

Background Computer-assisted navigation (CAN) is increasingly utilized in total shoulder arthroplasty (TSA), yet data validating its intraoperative agreement with preoperative plans in glenoid deformities remain limited. This study evaluated the navigation-recorded execution of the preoperative plan for glenoid entry point, version, and …

us, fr (code pays fourni par la source)

0 citations JSES International
2026 article OpenAlex

Identification of Reproducible CT‐Image Based Radiomic Features That Predict Shoulder Arthroplasty Outcomes

Hamidreza Rajabzadeh‐Oghaz, Josie Elwell, Bradley Schoch, William R. Aibinder et autres

The goal of this radiomic analysis is to quantify the sensitivity of radiomic features on computed tomography (CT) image pre-processing parameters and use machine learning (ML) techniques to identify the radiomic features that are highly predictive of shoulder arthroplasty outcomes. An ML …

us, br (code pays fourni par la source)

0 citations Journal of Orthopaedic Research®
Accès ouvert 2026 conference-paper OpenAlex

Quantifying Segmentation Uncertainty to Evaluate the Quality of ML Generated Deltoid Masks in Shoulder Arthroplasty Patients

Rakesh Raushan, Ashish Singh, Likitha Shetty, Josie Elwell et autres

Despite the growing development of image-based machine-learning models, their integration into clinical practice remains limited. A significant barrier to adoption is the reliability of these models' predictions. This study demonstrates the use of uncertainty analysis to evaluate output of a CT-based model …

us (code pays fourni par la source)

0 citations EPiC series in health sciences
Accès ouvert 2026 conference-paper OpenAlex

Expert Validation of CT-Based Machine Learning Model for Segmentation and Quantification of Deltoid Muscles for Shoulder Arthroplasty

Hamidreza Rajabzadeh-Oghaz, Josie Elwell, François Boux de Casson, Sandrine Polakovic et autres

The deltoid muscles play a crucial role in maintaining balanced arm function and enabling abduction following shoulder arthroplasty. Currently, pre-operative assessments of deltoid integrity rely primarily on visual inspection of medical images and subjective ratings. A recent work has shown accuracy of …

us, fr, br (code pays fourni par la source)

0 citations EPiC series in health sciences
Accès ouvert 2026 conference-paper OpenAlex

8 Years of Shoulder Navigation, an Intra-Operative Performance Retrospective Study

François Boux de Casson, Gabriella E. Ode, Ari R. Youderian, Bruno Gobbato et autres

This study aims to retrospectively evaluate the intra-operative performance of computer-assisted navigation (CAN) total shoulder arthroplasty (TSA) over years, analyzing temporal performance evolution and influencing factors.

fr, in, jp, us, br (code pays fourni par la source)

0 citations EPiC series in health sciences
Accès ouvert 2026 conference-paper OpenAlex

Trends in 3D Planning and Navigation in Shoulder Arthroplasty: Analysis of 70,137 Cases Over 8 Years

François Boux de Casson, Amaury Jung, Sandrine Polakovic, Josie Elwell

This study aims to retrospectively evaluate TSA planning patterns over an 8-year period, examining nearly 70,000 cases. For both aTSA and rTSA, over half of the planned cases are navigated, with most adhering to the planned procedure. Practitioners who plan both procedures …

fr (code pays fourni par la source)

0 citations EPiC series in health sciences

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