Shoulder arthroscopy: Where we come from, where we are now and what is ahead. How artificial intelligence and machine‐learning technologies will transform our field-Reference-Cited by-同舟云学术

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Shoulder arthroscopy: Where we come from, where we are now and what is ahead. How artificial intelligence and machine‐learning technologies will transform our field

Published:2024-06-19 Issue:8 Volume:32 Page:1923-1925
ISSN:0942-2056
Container-title:Knee Surgery, Sports Traumatology, Arthroscopy
language:en
Short-container-title:Knee surg. sports traumatol. arthrosc.

Author:

Calvo Emilio¹^ORCID,Calvo Elena T.²

Affiliation:

1. Shoulder and Elbow Reconstructive Surgery Unit, Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Fundación Jiménez Díaz Universidad Autónoma Madrid Spain

2. Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Gregorio Marañón Universidad Complutense Madrid Spain

Publisher

Wiley

Reference10 articles.

1. Can artificial intelligence help decision-making in arthroscopy? Part 1: Use of a standardized analysis protocol improves inter-observer agreement of arthroscopic diagnostic assessments of the long head of biceps tendon in small rotator cuff tears

2. Three-dimensional printed multiphasic scaffolds with stratified cell-laden gelatin methacrylate hydrogels for biomimetic tendon-to-bone interface engineering

3. Reconstruction of recurrent shoulder dislocation with glenoid bone defect with 3D-printed titanium alloy pad: outcomes at 2-year minimum follow-up

4. Machine learning model successfully identifies important clinical features for predicting outpatients with rotator cuff tears

5. Robot-assisted orthopedic surgeries around shoulder joint: where we are?

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