Pub Date : 2026-02-18Epub Date: 2025-12-29DOI: 10.2106/JBJS.25.01508
Michelle Ghert, Jason Strelzow
{"title":"The Power of AI to Turn Words into Images.","authors":"Michelle Ghert, Jason Strelzow","doi":"10.2106/JBJS.25.01508","DOIUrl":"10.2106/JBJS.25.01508","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":" ","pages":"273"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145856487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18DOI: 10.2106/JBJS.ER.25.00934
{"title":"Erratum: International Consensus Meeting on Infection.","authors":"","doi":"10.2106/JBJS.ER.25.00934","DOIUrl":"10.2106/JBJS.ER.25.00934","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"e7"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18Epub Date: 2025-12-31DOI: 10.2106/JBJS.25.01583
William Wallace, Jason Strelzow
{"title":"A Humanist's View of Artificial Intelligence in Orthopaedic Surgery.","authors":"William Wallace, Jason Strelzow","doi":"10.2106/JBJS.25.01583","DOIUrl":"10.2106/JBJS.25.01583","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":" ","pages":"272"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145877666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence in ACL Reconstruction: From Personalized Planning to Precise Execution: Commentary on an article by Haomiao Yu, MD, et al.: \"AI-Driven CT-MRI Image Fusion and Segmentation for Automatic Preoperative Planning of ACL Reconstruction. Development and Application\".","authors":"Jean Chaoui","doi":"10.2106/JBJS.25.01329","DOIUrl":"https://doi.org/10.2106/JBJS.25.01329","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"249-250"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18DOI: 10.2106/JBJS.ER.25.00666
Allison J Rao, Michael L Knudsen, Alicia K Harrison
{"title":"Erratum: What's New in Shoulder and Elbow Surgery.","authors":"Allison J Rao, Michael L Knudsen, Alicia K Harrison","doi":"10.2106/JBJS.ER.25.00666","DOIUrl":"https://doi.org/10.2106/JBJS.ER.25.00666","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"e6"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18DOI: 10.2106/JBJS.ER.24.01411
Michelle M Lawson, Karalynn Lancaster, Colin Lipps, Gerard Slobogean, Jacqueline M Brady, Nathan O'Hara, Zachary M Working
{"title":"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.","authors":"Michelle M Lawson, Karalynn Lancaster, Colin Lipps, Gerard Slobogean, Jacqueline M Brady, Nathan O'Hara, Zachary M Working","doi":"10.2106/JBJS.ER.24.01411","DOIUrl":"https://doi.org/10.2106/JBJS.ER.24.01411","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"e8"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Tibial plateau fractures represent a diverse group of intra-articular injuries that can be difficult to detect and characterize on initial imaging. The aim of the present study was to develop an artificial intelligence (AI) diagnostic tool for identifying tibial plateau fractures on radiographs.
Methods: In this retrospective study, we analyzed radiographs that had been made from January 2018 to December 2020 for 1,809 patients, with an equal distribution of male and female adults. A total of 3,821 anteroposterior and lateral knee radiographs were evaluated with use of the EfficientNet B3 AI model, with computed tomography (CT) images being used as the ground truth. Evaluation metrics focused on the area under the receiver operating characteristic curve (AUC) and positive predictive values across different subgroups.
Results: Our AI model attained AUCs of 0.98 and 0.97 for detecting tibial plateau fractures in the test and external validation datasets, respectively. Subgroup analysis revealed diverse positive predictive values across different Schatzker types and 3-column classifications.
Conclusions: Our deep learning model exhibits newfound ability for identifying tibial plateau fractures. However, we encountered several limitations, such as imbalances among the sizes of various subgroups in the dataset and an inability to identify radiographs containing foreign objects or other defects.
Level of evidence: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
{"title":"Minimizing Missed Diagnoses of Tibial Plateau Fractures: The Role of AI in Radiographic Evaluation.","authors":"Mu-Ze Chen, Yueh-Peng Chen, Yu-Chieh Hung, Yu-Jui Huang, Tzuo-Yau Fan, Heng-Liang Liu, Cheng-Pang Yang, Shih-Sheng Chang, Chang-Fu Kuo, Cheng-Chi James Chu, Yi-Sheng Chan","doi":"10.2106/JBJS.24.00579","DOIUrl":"10.2106/JBJS.24.00579","url":null,"abstract":"<p><strong>Background: </strong>Tibial plateau fractures represent a diverse group of intra-articular injuries that can be difficult to detect and characterize on initial imaging. The aim of the present study was to develop an artificial intelligence (AI) diagnostic tool for identifying tibial plateau fractures on radiographs.</p><p><strong>Methods: </strong>In this retrospective study, we analyzed radiographs that had been made from January 2018 to December 2020 for 1,809 patients, with an equal distribution of male and female adults. A total of 3,821 anteroposterior and lateral knee radiographs were evaluated with use of the EfficientNet B3 AI model, with computed tomography (CT) images being used as the ground truth. Evaluation metrics focused on the area under the receiver operating characteristic curve (AUC) and positive predictive values across different subgroups.</p><p><strong>Results: </strong>Our AI model attained AUCs of 0.98 and 0.97 for detecting tibial plateau fractures in the test and external validation datasets, respectively. Subgroup analysis revealed diverse positive predictive values across different Schatzker types and 3-column classifications.</p><p><strong>Conclusions: </strong>Our deep learning model exhibits newfound ability for identifying tibial plateau fractures. However, we encountered several limitations, such as imbalances among the sizes of various subgroups in the dataset and an inability to identify radiographs containing foreign objects or other defects.</p><p><strong>Level of evidence: </strong>Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.</p>","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"303-312"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12885574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Where New and Old Technologies Converge: In Search of a Better Way to Predict Pathologic Fracture: Commentary on an article by Shinn Kim, MD, et al.: \"Deep Learning Model for Differentiating Between Neoplastic Pathologic Fracture and Nonpathologic Fracture Using Hip Radiographs\".","authors":"H Thomas Temple, Haley Prough","doi":"10.2106/JBJS.25.01162","DOIUrl":"https://doi.org/10.2106/JBJS.25.01162","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"247-248"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Writing (and Rewriting) in the Age of Artificial Intelligence: Commentary on an article by Paxton Sweeney, BA, et al.: \"AI-Generated Text in Orthopaedic Articles. A Cross-Sectional Analysis\".","authors":"Joseph Bernstein","doi":"10.2106/JBJS.25.01526","DOIUrl":"https://doi.org/10.2106/JBJS.25.01526","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":"108 4","pages":"255-256"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18Epub Date: 2025-12-29DOI: 10.2106/JBJS.25.01479
Jason Strelzow
{"title":"An Algorithmic Scalpel: Realistic Expectations for Artificial Intelligence in Orthopaedic Practice.","authors":"Jason Strelzow","doi":"10.2106/JBJS.25.01479","DOIUrl":"10.2106/JBJS.25.01479","url":null,"abstract":"","PeriodicalId":15273,"journal":{"name":"Journal of Bone and Joint Surgery, American Volume","volume":" ","pages":"269-271"},"PeriodicalIF":4.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145856509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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