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| http://dx.doi.org/10.1177/15563316241268084 | DOI Listing |
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Clinical Application of a Big Data Machine Learning Analysis Model for Osteoporotic Fracture Risk Assessment Built on Multicenter Clinical Data in Qingdao City.
Discov Med
January 2025
Science and Education Department, Zibo Orthopedic Hospital, 255040 Zibo, Shandong, China.
Background: Osteoporotic fractures (OPF) pose a public health issue, imposing significant burdens on families and societies worldwide. Currently, there is a lack of comprehensive and validated risk assessment models for OPF. This study aims to develop a model to assess and predict the risk of OPF in Qingdao City, China.
View Article and Find Full Text PDFAssessing the clinical support capabilities of ChatGPT 4o and ChatGPT 4o mini in managing lumbar disc herniation.
Eur J Med Res
January 2025
Department of Orthopedics, The Second Hospital of Shandong University, Qilu Hospital of Shandong University, Shandong University, Jinan, 250000, China.
Purpose: This study evaluated and compared the clinical support capabilities of ChatGPT 4o and ChatGPT 4o mini in diagnosing and treating lumbar disc herniation (LDH) with radiculopathy.
Methods: Twenty-one questions (across 5 categories) from NASS Clinical Guidelines were input into ChatGPT 4o and ChatGPT 4o mini. Five orthopedic surgeons assessed their responses using a 5-point Likert scale for accuracy and completeness, and a 7-point scale for reliability.
Negative Prognostic Factors and Clinical Improvement Prediction Modeling for ESWT in Calcific Shoulder Tendinitis Using Artificial Intelligence Techniques.
J Shoulder Elbow Surg
January 2025
Department of Sports Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Sports Medicine, Department of Orthopaedic Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Orthopaedics, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Orthopaedic Surgery, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan. Electronic address:
Background: The efficacy of extracorporeal shockwave therapy (ESWT) for treating shoulder calcific tendinitis can be influenced by various prognostic factors. This study aimed to identify prognostic factors associated with the failure of ESWT for symptom relief and to evaluate the predictive capability of the eXtreme Gradient Boosting (XGBoost) algorithm of artificial intelligence techniques in this context.
Methods: This retrospective study enrolled patients with persistent shoulder pain attributed to calcific tendinitis who underwent ESWT after failed conservative treatment between January 1998 and December 2022.
Diagnosis of Parkinson's disease by eliciting trait-specific eye movements in multi-visual tasks.
J Transl Med
January 2025
School of Information and Communication Engineering, Dalian University of Technology, No. 2 Linggong Road, 116024, Dalian, China.
Background: Parkinson's Disease (PD) is a neurodegenerative disorder, and eye movement abnormalities are a significant symptom of its diagnosis. In this paper, we developed a multi-task driven by eye movement in a virtual reality (VR) environment to elicit PD-specific eye movement abnormalities. The abnormal features were subsequently modeled by using the proposed deep learning algorithm to achieve an auxiliary diagnosis of PD.
View Article and Find Full Text PDFStandardizing and Classifying Anterior Cruciate Ligament Injuries: An International Multicenter Study Using a Mobile Application.
Diagnostics (Basel)
December 2024
Star Medica Chihuahua Hospital, Perif. de la Juventud 6103, Fracc. El Saucito, Chihuahua 31110, Mexico.
: This international multicenter study aimed to assess the effectiveness of the Pivot-Shift Meter (PSM) mobile application in diagnosing and classifying anterior cruciate ligament (ACL) injuries, emphasizing the need for standardization to improve diagnostic precision and treatment outcomes. : ACL evaluations were conducted by eight experienced orthopedic surgeons across five Latin American countries (Bolivia, Chile, Colombia, Ecuador, and Mexico). The PSM app utilized smartphone gyroscopes and accelerometers to standardize the pivot-shift test.
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