Purpose: To systematically review the effectiveness and validity of orthopaedic surgery training using simulation technologies including augmented reality, virtual reality, and/or mixed reality within arthroscopic shoulder surgery.
Methods: A literature search was conducted of the EMBASE and PubMed databases from inception to January 2024 per the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Included studies described arthroscopic shoulder surgery simulation training among orthopaedic surgery trainees.
Introduction: In recent years, artificial intelligence (AI) has seen substantial progress in its utilization, with Chat Generated Pre-Trained Transformer (ChatGPT) is emerging as a popular language model. The purpose of this study was to test the accuracy and reliability of ChatGPT's responses to frequently asked questions (FAQ) pertaining to reverse shoulder arthroplasty (RSA).
Methods: The ten most common FAQs were queried from institution patient education websites.
Purpose: To systematically review the patient-reported outcomes and postoperative complications following tuberoplasty for the treatment of massive irreparable rotator cuff tears.
Methods: A literature search was conducted using PubMed and EMBASE computerized databases from database inception to June 2023 in accordance with the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Included studies evaluated clinical outcomes, postoperative complications, and reoperation rates following tuberoplasty for the treatment of massive irreparable rotator cuff tears.
Mov Disord Clin Pract
March 2024