Rapid and precise identification of musculoskeletal conditions is essential for effective treatment, and advances in orthopedic diagnostics have significantly improved accuracy and efficiency. High-resolution imaging technologies such as 3D MRI, low-radiation CT scans, and ultra-high-frequency ultrasound provide detailed insights into bone, joint, and soft tissue abnormalities. Additionally, molecular and genetic markers are being integrated into diagnostic protocols to detect early signs of degenerative diseases like osteoarthritis. Artificial intelligence is further revolutionizing the field by enhancing image interpretation, allowing for early detection of fractures, tumors, and infections with greater precision. Wearable biomechanical sensors and motion analysis systems are also transforming patient assessment, enabling continuous monitoring of movement patterns for better treatment planning. As orthopedic diagnostics continue to evolve, the combination of advanced imaging, AI-driven analysis, and biomarker research is paving the way for more personalized and effective musculoskeletal care.
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Hussein Jaber, University of Cambridge, United Kingdom
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Title : Total Knee Arthroplasty (TKA) in hemophilic arthropathy: Modern outcomes and perioperative strategies
Jack Russek, Touro University California, United States
Title : Musculoskeletal and orthopedic implications of Gender-Affirming Hormone Therapy (GAHT): A PRISMA-Guided systematic narrative review
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