[HTML][HTML] Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review

P Gupta, HS Haeberle, ZR Zimmer, WN Levine… - JSES Reviews, Reports …, 2023 - Elsevier
Background Artificial intelligence (AI) aims to simulate human intelligence using automated
computer algorithms. There has been a rapid increase in research applying AI to various …

Evaluation of a deep learning method for the automated detection of supraspinatus tears on MRI

J Yao, L Chepelev, Y Nisha, P Sathiadoss, FJ Rybicki… - Skeletal radiology, 2022 - Springer
Objective To evaluate if deep learning is a feasible approach for automated detection of
supraspinatus tears on MRI. Materials and methods A total of 200 shoulder MRI studies …

Artificial intelligence in shoulder and elbow surgery: overview of current and future applications

JM Levin, SG Lorentz, ET Hurley, J Lee… - Journal of Shoulder and …, 2024 - Elsevier
Artificial intelligence (AI) is amongst the most rapidly growing technologies in orthopedic
surgery. With the exponential growth in healthcare data, computing power, and complex …

Glenoid segmentation from computed tomography scans based on a 2-stage deep learning model for glenoid bone loss evaluation

Q Zhao, Q Feng, J Zhang, J Xu, Z Wu, C Huang… - Journal of Shoulder and …, 2023 - Elsevier
Background The best-fitting circle drawn by computed tomography (CT) reconstruction of the
en face view of the glenoid bone to measure the bone defect is widely used in clinical …

[HTML][HTML] Comparing bone shape models from deep learning processing of magnetic resonance imaging to computed tomography-based models

V Wong, F Calivá, F Su, V Pedoia, D Lansdown - JSES international, 2023 - Elsevier
Background The purpose of this study was to develop a deep learning approach to
automatically segment the scapular bone on magnetic resonance imaging (MRI) images …

[引用][C] JSES International

V Wong, F Calivá, F Su, V Pedoia, D Lansdown - 2023 - europepmc.org
Background: The purpose of this study was to develop a deep learning approach to
automatically segment the scapular bone on magnetic resonance imaging (MRI) images …