Artificial intelligence in shoulder arthroplasty: how smart is it?-Reference-Cited by-同舟云学术

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Artificial intelligence in shoulder arthroplasty: how smart is it?

Published:2024-07 Issue: Volume: Page:
ISSN:2666-6383
Container-title:JSES International
language:en
Short-container-title:JSES International

Author:

Kim Hyun Gon,Kim Su Cheol,Park Jong Hun^ORCID,Kim Jae Soo^ORCID,Kim Dae Yeung,Yoo Jae Chul^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Development and validation of a predictive model for outcomes in shoulder arthroplasty: a multicenter analysis of nearly 2000 patients;Baessler;J Shoulder Elbow Surg,2021

2. The reliability and validity of wearable inertial sensors coupled with the microsoft kinect to measure shoulder range-of-motion;Beshara;Sensors,2020

3. A novel machine learning model developed to assist in patient selection for outpatient total shoulder arthroplasty;Biron;J Am Acad Orthop Surg,2020

4. Assessment of shoulder range of motion using a commercially available wearable sensor-a validation study;Chan;mHealth,2022

5. Wearable motion sensor device to facilitate rehabilitation in patients with shoulder adhesive capsulitis: pilot study to assess feasibility;Chen;J Med Internet Res,2020

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