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The Future of AI in Orthopaedics: Boon or Bust?
doi : 10.2106/JBJS.25.01514
Volume 108(4) pgs. 245-325,e6-e8 February 18, 2026
Where New and Old Technologies Converge: In Search of a Better Way to Predict Pathologic Fracture
doi : 10.2106/JBJS.25.01162
Artificial Intelligence in ACL Reconstruction: From Personalized Planning to Precise Execution
doi : 10.2106/JBJS.25.01329
The Path to Clinical AI: Evaluating the Generalizability of Tibial Plateau Fracture Detection
doi : 10.2106/JBJS.25.00743
What's New in Machine Learning and Generative Artificial Intelligence in Orthopaedics
doi : 10.2106/JBJS.25.01376
An Algorithmic Scalpel: Realistic Expectations for Artificial Intelligence in Orthopaedic Practice
doi : 10.2106/JBJS.25.01479
The Transformative Potential of Artificial Intelligence in Latin American Research
doi : 10.2106/JBJS.25.01431
Deep Learning Model for Differentiating Between Neoplastic Pathologic Fracture and Nonpathologic Fracture Using Hip Radiographs
doi : 10.2106/JBJS.25.00344
AI-Driven CT-MRI Image Fusion and Segmentation for Automatic Preoperative Planning of ACL Reconstruction: Development and Application
doi : 10.2106/JBJS.25.00485
Minimizing Missed Diagnoses of Tibial Plateau Fractures: The Role of AI in Radiographic Evaluation
doi : 10.2106/JBJS.24.00579
Exploring the Endorsement and Implementation of Artificial Intelligence Guidelines in Leading Orthopaedic and Sports Medicine Journals: A Cross-Sectional Study
doi : 10.2106/JBJS.25.00373
Erratum: Home Call and Sleep in Orthopaedic Surgeons. A Prospective, Longitudinal Study of the Effect of Home Call on Sleep in Orthopaedic Attending Surgeons and Residents
doi : 10.2106/JBJS.ER.24.01411
