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.
Title : The UK profemur recall and implant cobaltism
Stephen S Tower, University of Alaska Anchorage, United States
Title : The tomographic phenotype and the genotype of wormain bones
Ali Al Kaissi, National Ilizarov Medical Research Center for Traumatology and Orthopaedics, Russian Federation
Title : New treatment of muscle contracture and joint contracture through muscle regeneration with mitochondrial dynamics
Ki Ji Lee, Busan Medical University, Korea, Republic of
Title : New treatment of sarcopenia through muscle regeneration with mitochondrial dynamics
Ki Ji Lee, Busan Medical University, Korea, Republic of
Title : The prevalence and association of self-reported depression symptoms with musculoskeletal pain and quality of life among pregnant women
Youssef Masharawi, Tel Aviv University, Israel
Title : Bipolar hemiarthroplasty under local anesthesia (2%)
Ketan Karabhai Parmar, Aayush Multispecialty Hospital, India