Rothman Institute

Breaking barriers: can ChatGPT compete with a shoulder and elbow specialist in diagnosis and management?

Mohammad Daher, Jonathan Koa, Peter Boufadel et al.

2023 · 46 Zit.

ChatGPT Provides Unsatisfactory Responses to Frequently Asked Questions Regarding Anterior Cruciate Ligament Reconstruction

William L. Johns, Brandon J. Martinazzi, Benjamin Miltenberg et al.

2024 · 45 Zit.

ChatGPT Can Offer Satisfactory Responses to Common Patient Questions Regarding Elbow Ulnar Collateral Ligament Reconstruction

William L. Johns, Alec Kellish, Dominic Farronato et al.

2024 · 37 Zit.

Identification of ChatGPT‐Generated Abstracts Within Shoulder and Elbow Surgery Poses a Challenge for Reviewers

Ryan D. Stadler, Suleiman Y. Sudah, Michael A. Moverman et al.

2024 · 15 Zit.

Large Language Models in Orthopaedics

Jie Yao, M. L. Aggarwal, Ryan Lopez et al.

2024 · 10 Zit.

Interpreting the Current Literature on Outcomes of Robotic-Assisted Versus Conventional Total Knee Arthroplasty Using Fragility Analysis: A Systematic Review and Cross-Sectional Study of Randomized Controlled Trials

Michelle A. Zabat, Alec Giakas, Alexandra L. Hohmann et al.

2024 · 8 Zit.

ChatGPT is capable of providing satisfactory responses to frequently asked questions regarding total shoulder arthroplasty

Teja Yeramosu, William L. Johns, Gabriel Onor et al.

2024 · 6 Zit.

Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery

Mohamad Y. Fares, Harry H. Liu, Ana Paula Beck da Silva Etges et al.

2024 · 6 Zit.

Assessing the accuracy and utility of ChatGPT responses to patient questions regarding posterior lumbar decompression

Alec Giakas, Rajkishen Narayanan, Teeto Ezeonu et al.

2024 · 5 Zit.

Level of Evidence in the Archivs of Bone and Joint Surgery Journal.

Ali Parsa, Mohammad Ali Ebrahimzadeh

2017 · 4 Zit.

A Comprehensive Exploration of Digital Twinning in Spine Surgery

Nija Lomax, Shreya Vinjamuri, Sthavir Vinjamuri et al.

2024 · 4 Zit.

A Novel Machine Learning Model to Predict Revision ACL Reconstruction Failure in the MARS Cohort

MARS Group, Kinjal Vasavada, Vrinda Vasavada et al.

2024 · 3 Zit.

AO Spine Knowledge Forums Promote Collaboration and Elevate the Impact of Research: A Bibliometric Analysis

Daniel N. de Souza, David B. Kurland, Luiz Roberto Vialle et al.

2025 · 2 Zit.

Response to Chelli and Boileau: “Let's ‘recall’ sensitivity and specificity”

Anirudh K. Gowd, Dev M. Patel, Avinesh Agarwalla et al.

2020 · 1 Zit.

Evaluation of a Popular Large Language Model in Orthopedic Literature Review: Comparison to Previously Published Reviews.

Jie Yao, Ryan Lopez, Adam A. Rizk et al.

2025 · 1 Zit.